{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1ea5a8c3",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import torch\n",
    "from torch import nn\n",
    "from torch import optim\n",
    "from sklearn.preprocessing import MinMaxScaler"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1f94f63",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 获取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b0a40b10",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "new_data = pd.read_csv('../data/new_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "731a0bd4",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "new_data = new_data.drop(['Unnamed: 0', 'light', 'wind_speed', 'wind_direction_angle', 'weather_status', 'precipitation'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "91bdcffe",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 75552 entries, 0 to 75551\n",
      "Data columns (total 9 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   value        75552 non-null  float64\n",
      " 1   temperature  75552 non-null  float64\n",
      " 2   humidity     75552 non-null  float64\n",
      " 3   pressure     75552 non-null  float64\n",
      " 4   visibility   75552 non-null  float64\n",
      " 5   holiday      75552 non-null  float64\n",
      " 6   minute       75552 non-null  float64\n",
      " 7   week         75552 non-null  float64\n",
      " 8   year         75552 non-null  float64\n",
      "dtypes: float64(9)\n",
      "memory usage: 5.2 MB\n"
     ]
    }
   ],
   "source": [
    "new_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d9edfa9c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "new_data = new_data.astype(np.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d7cfbf45",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 75552 entries, 0 to 75551\n",
      "Data columns (total 9 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   value        75552 non-null  float32\n",
      " 1   temperature  75552 non-null  float32\n",
      " 2   humidity     75552 non-null  float32\n",
      " 3   pressure     75552 non-null  float32\n",
      " 4   visibility   75552 non-null  float32\n",
      " 5   holiday      75552 non-null  float32\n",
      " 6   minute       75552 non-null  float32\n",
      " 7   week         75552 non-null  float32\n",
      " 8   year         75552 non-null  float32\n",
      "dtypes: float32(9)\n",
      "memory usage: 2.6 MB\n"
     ]
    }
   ],
   "source": [
    "new_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "168abb71",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "2021年、2022年、2023年年初电力负荷均出现了明显的先下降后上升过程，但原因不明，需要和电力公司沟通，了解原因。因此在模型训练和测试时选择将这段时间的数据忽略。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94fa904c",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "删去2021-1-21到2021-2-6，2022-2-9到2022-2-24，2023-1-26到2023-2-13的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9d371b33",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "drop_index = [i for i in range(1920, 3552)] + [i for i in range(38784, 40320)] + [i for i in range(72480, 74304)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2e93663d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "new_data = new_data.drop(drop_index, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a35a38ca",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 70560 entries, 0 to 75551\n",
      "Data columns (total 9 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   value        70560 non-null  float32\n",
      " 1   temperature  70560 non-null  float32\n",
      " 2   humidity     70560 non-null  float32\n",
      " 3   pressure     70560 non-null  float32\n",
      " 4   visibility   70560 non-null  float32\n",
      " 5   holiday      70560 non-null  float32\n",
      " 6   minute       70560 non-null  float32\n",
      " 7   week         70560 non-null  float32\n",
      " 8   year         70560 non-null  float32\n",
      "dtypes: float32(9)\n",
      "memory usage: 3.0 MB\n"
     ]
    }
   ],
   "source": [
    "new_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "405f60bf",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "划分训练集和测试集。2021年、2022年前11个月和2023年的数据作为训练集，2022年12月的数据作为测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c1e10150",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "train1 = new_data.loc[:1919]\n",
    "train2 = new_data.loc[3552:38783]\n",
    "train3 = new_data.loc[40320:67103]\n",
    "train4 = new_data.loc[70080:72479]\n",
    "train5 = new_data.loc[74304:]\n",
    "train = pd.concat([new_data.loc[:67103], new_data.loc[70080:]], axis=0)\n",
    "test = new_data.loc[67104:70079]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c1a4883d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "67584\n",
      "2976\n"
     ]
    }
   ],
   "source": [
    "print(len(train))\n",
    "print(len(test))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c19029c",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "对训练集和测试集数据归一化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "22e15b29",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "scaler = MinMaxScaler()\n",
    "scaler = scaler.fit(train)  # fit，在这里本质是生成min(x)和max(x)\n",
    "train_result1 = scaler.transform(train1)  # 结果为ndarray类型\n",
    "train_result2 = scaler.transform(train2)\n",
    "train_result3 = scaler.transform(train3)\n",
    "train_result4 = scaler.transform(train4)\n",
    "train_result5 = scaler.transform(train5)\n",
    "test_result = scaler.transform(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "73fa08a6",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: #000;\n",
       "  --sklearn-color-text-muted: #666;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: flex;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "  align-items: start;\n",
       "  justify-content: space-between;\n",
       "  gap: 0.5em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
       "  font-size: 0.6rem;\n",
       "  font-weight: lighter;\n",
       "  color: var(--sklearn-color-text-muted);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  display: none;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  overflow: visible;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 0.5em;\n",
       "  text-align: center;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".estimator-table summary {\n",
       "    padding: .5rem;\n",
       "    font-family: monospace;\n",
       "    cursor: pointer;\n",
       "}\n",
       "\n",
       ".estimator-table details[open] {\n",
       "    padding-left: 0.1rem;\n",
       "    padding-right: 0.1rem;\n",
       "    padding-bottom: 0.3rem;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table {\n",
       "    margin-left: auto !important;\n",
       "    margin-right: auto !important;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
       "    background-color: #fff;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(even) {\n",
       "    background-color: #f6f6f6;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:hover {\n",
       "    background-color: #e0e0e0;\n",
       "}\n",
       "\n",
       ".estimator-table table td {\n",
       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
       "}\n",
       "\n",
       ".user-set td {\n",
       "    color:rgb(255, 94, 0);\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       ".user-set td.value pre {\n",
       "    color:rgb(255, 94, 0) !important;\n",
       "    background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".default td {\n",
       "    color: black;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       ".user-set td i,\n",
       ".default td i {\n",
       "    color: black;\n",
       "}\n",
       "\n",
       ".copy-paste-icon {\n",
       "    background-image: url();\n",
       "    background-repeat: no-repeat;\n",
       "    background-size: 14px 14px;\n",
       "    background-position: 0;\n",
       "    display: inline-block;\n",
       "    width: 14px;\n",
       "    height: 14px;\n",
       "    cursor: pointer;\n",
       "}\n",
       "</style><body><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>MinMaxScaler()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>MinMaxScaler</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.MinMaxScaler.html\">?<span>Documentation for MinMaxScaler</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"\">\n",
       "        <div class=\"estimator-table\">\n",
       "            <details>\n",
       "                <summary>Parameters</summary>\n",
       "                <table class=\"parameters-table\">\n",
       "                  <tbody>\n",
       "                    \n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('feature_range',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">feature_range&nbsp;</td>\n",
       "            <td class=\"value\">(0, ...)</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('copy',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">copy&nbsp;</td>\n",
       "            <td class=\"value\">True</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('clip',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">clip&nbsp;</td>\n",
       "            <td class=\"value\">False</td>\n",
       "        </tr>\n",
       "    \n",
       "                  </tbody>\n",
       "                </table>\n",
       "            </details>\n",
       "        </div>\n",
       "    </div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
       "    // Get the parameter prefix from the closest toggleable content\n",
       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
       "    const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
       "\n",
       "    const originalStyle = element.style;\n",
       "    const computedStyle = window.getComputedStyle(element);\n",
       "    const originalWidth = computedStyle.width;\n",
       "    const originalHTML = element.innerHTML.replace('Copied!', '');\n",
       "\n",
       "    navigator.clipboard.writeText(fullParamName)\n",
       "        .then(() => {\n",
       "            element.style.width = originalWidth;\n",
       "            element.style.color = 'green';\n",
       "            element.innerHTML = \"Copied!\";\n",
       "\n",
       "            setTimeout(() => {\n",
       "                element.innerHTML = originalHTML;\n",
       "                element.style = originalStyle;\n",
       "            }, 2000);\n",
       "        })\n",
       "        .catch(err => {\n",
       "            console.error('Failed to copy:', err);\n",
       "            element.style.color = 'red';\n",
       "            element.innerHTML = \"Failed!\";\n",
       "            setTimeout(() => {\n",
       "                element.innerHTML = originalHTML;\n",
       "                element.style = originalStyle;\n",
       "            }, 2000);\n",
       "        });\n",
       "    return false;\n",
       "}\n",
       "\n",
       "document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
       "    const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
       "    const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
       "\n",
       "    element.setAttribute('title', fullParamName);\n",
       "});\n",
       "</script></body>"
      ],
      "text/plain": [
       "MinMaxScaler()"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "46c78f62",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1920, 9)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ac27986a",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(35232, 9)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b287ba56",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(26784, 9)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result3.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4adda32d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2400, 9)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result4.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "830e5289",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1248, 9)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result5.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8b6b6588",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2976, 9)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_result.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aed7a6a6",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "生成训练数据和测试数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d79e538f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "#  可以做个比较，有预测时刻的气象信息与没有预测时刻的气象信息。感觉有预测时刻的气象信息作为输入，模型预测准确性会受到天气预报准确性的影响。\n",
    "#  生成的样本起始时刻依次相差15分钟\n",
    "def create_inout_sequences(input_data, tw):\n",
    "    inout_seq = []\n",
    "    L = len(input_data)\n",
    "    for i in range(L-tw+1):\n",
    "        train_seq = np.empty((96, 15), dtype=np.float32)\n",
    "        for j in range(96):\n",
    "            seq1 = input_data[i+j:i+tw-96:96, 0].reshape(-1)\n",
    "            seq2 = input_data[i+tw-96+j, 1:].reshape(-1)\n",
    "            seq = np.concatenate((seq1, seq2), axis=0)\n",
    "            train_seq[j] = seq\n",
    "        train_label = input_data[i+tw-96:i+tw, 0]\n",
    "        inout_seq.append((torch.tensor(train_seq) ,torch.tensor(train_label)))\n",
    "    return inout_seq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ec72edc3",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "train_seq1 = create_inout_sequences(train_result1, 768)\n",
    "train_seq2 = create_inout_sequences(train_result2, 768)\n",
    "train_seq3 = create_inout_sequences(train_result3, 768)\n",
    "train_seq4 = create_inout_sequences(train_result4, 768)\n",
    "train_seq5 = create_inout_sequences(train_result5, 768)\n",
    "train_seq = train_seq1 + train_seq2 + train_seq3 + train_seq4 + train_seq5\n",
    "test_seq = create_inout_sequences(test_result, 768)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0909868b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "63749"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_seq)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1011c234",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2209"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test_seq)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "578e333e",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "训练样本的数量为63749，每个训练样本包括特征和标签，其中特征有96个序列，每个序列为前7天同一个时刻的负荷和预测那天同一时刻的数据，时刻从0:00到23:45，标签为预测那天96个时刻的负荷值。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65529538",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "使用前7天和未来24小时的数据预测未来24小时的负荷"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "239a7fee",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "设置批量大小为128"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4e2bac91",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "trainloader = torch.utils.data.DataLoader(train_seq, batch_size=128, shuffle=True)\n",
    "testloader = torch.utils.data.DataLoader(test_seq, batch_size=len(test_seq))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "cab7339b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "499"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(trainloader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "63b2522b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(testloader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "9513c86f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([128, 96, 15])\n",
      "torch.Size([128, 96])\n"
     ]
    }
   ],
   "source": [
    "for i ,j in trainloader:\n",
    "    print(i.shape)\n",
    "    print(j.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "bec18720",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([2209, 96, 15])\n",
      "torch.Size([2209, 96])\n"
     ]
    }
   ],
   "source": [
    "for i ,j in testloader:\n",
    "    print(i.shape)\n",
    "    print(j.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea4558a2",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 建立LSTM模型并训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6649add6",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 前7天的负荷数据和未来24小时的数据\n",
    "class LstmNet(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        \n",
    "        self.layer1 = nn.LSTM(15, 100, 1, batch_first=True)  # 这个lstm的输入为15个神经元，输出为100个神经元，每个训练样本一次训练这个lstm被重复执行了96次，\n",
    "        self.layer2 = nn.Linear(100, 1)  # 或者形象地说这个lstm结构在时间上的长度为96。\n",
    "        \n",
    "    def forward(self, x):\n",
    "        y1, _ = self.layer1(x)\n",
    "        y2 = self.layer2(y1)\n",
    "        return y2.reshape(-1, 96)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b1ca102b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 128*96*15 15*100 128*96*100 100*1 128*96*1 128*96  # 批量大小为128，batch_first=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "72fa3432",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "lstmnet = LstmNet()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "767fc975",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "lr = 0.0001\n",
    "opt = optim.Adam(lstmnet.parameters(), lr=lr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ab0c86b1",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "#    opt = optim.Adam(lstmnet.parameters(), lr=lr*0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "cdf10e65",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "loss_function = nn.MSELoss()  # 方差/平均平方误差"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "cac30108",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "loss_list = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "bea729f7",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "MAPE_list = [3.4174072209639403]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "45e5bfb9",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(0.1502)\n",
      "tensor(0.1058)\n",
      "tensor(0.0764)\n",
      "tensor(0.0484)\n",
      "tensor(0.0267)\n",
      "tensor(0.0182)\n",
      "tensor(0.0161)\n",
      "tensor(0.0183)\n",
      "tensor(0.0161)\n",
      "tensor(0.0180)\n",
      "tensor(0.0177)\n",
      "tensor(0.0154)\n",
      "tensor(0.0195)\n",
      "tensor(0.0165)\n",
      "tensor(0.0149)\n",
      "tensor(0.0137)\n",
      "tensor(0.0160)\n",
      "tensor(0.0137)\n",
      "tensor(0.0155)\n",
      "tensor(0.0168)\n",
      "tensor(0.0107)\n",
      "tensor(0.0124)\n",
      "tensor(0.0140)\n",
      "tensor(0.0113)\n",
      "tensor(0.0130)\n",
      "tensor(0.0135)\n",
      "tensor(0.0112)\n",
      "tensor(0.0104)\n",
      "tensor(0.0112)\n",
      "tensor(0.0109)\n",
      "tensor(0.0098)\n",
      "tensor(0.0096)\n",
      "tensor(0.0106)\n",
      "tensor(0.0101)\n",
      "tensor(0.0124)\n",
      "tensor(0.0097)\n",
      "tensor(0.0122)\n",
      "tensor(0.0094)\n",
      "tensor(0.0089)\n",
      "tensor(0.0082)\n",
      "tensor(0.0101)\n",
      "tensor(0.0102)\n",
      "tensor(0.0090)\n",
      "tensor(0.0090)\n",
      "tensor(0.0086)\n",
      "tensor(0.0101)\n",
      "tensor(0.0082)\n",
      "tensor(0.0109)\n",
      "tensor(0.0099)\n"
     ]
    }
   ],
   "source": [
    "epochs = 1\n",
    "for epoch in range(epochs):\n",
    "    i = 0\n",
    "    for xb, yb in trainloader:\n",
    "        y = lstmnet(xb)\n",
    "        loss = loss_function(y, yb)\n",
    "        loss_list.append(loss.data)\n",
    "        loss.backward()\n",
    "        opt.step()\n",
    "        opt.zero_grad()\n",
    "        i += 1\n",
    "        if i%10 == 0:\n",
    "            print(loss.data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70e42db6",
   "metadata": {},
   "source": [
    "自己设置的v_max v_min "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8000268c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 根据实际需求设置 v_max 和 v_min 的值\n",
    "v_max = max(train['value'])\n",
    "v_min = min(train['value'])\n",
    "for x, y in testloader:\n",
    "    true_label = y * (v_max - v_min) + v_min\n",
    "    true_label = true_label.numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8000268c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(0.0085)\n",
      "tensor(0.0081)\n",
      "tensor(0.0084)\n",
      "tensor(0.0099)\n",
      "tensor(0.0081)\n",
      "tensor(0.0085)\n",
      "tensor(0.0089)\n",
      "tensor(0.0081)\n",
      "tensor(0.0092)\n",
      "tensor(0.0088)\n",
      "tensor(0.0072)\n",
      "tensor(0.0074)\n",
      "tensor(0.0077)\n",
      "tensor(0.0086)\n",
      "tensor(0.0085)\n",
      "tensor(0.0084)\n",
      "tensor(0.0081)\n",
      "tensor(0.0069)\n",
      "tensor(0.0085)\n",
      "tensor(0.0103)\n",
      "tensor(0.0084)\n",
      "tensor(0.0077)\n",
      "tensor(0.0092)\n",
      "tensor(0.0081)\n",
      "tensor(0.0078)\n",
      "tensor(0.0101)\n",
      "tensor(0.0072)\n",
      "tensor(0.0065)\n",
      "tensor(0.0083)\n",
      "tensor(0.0063)\n",
      "tensor(0.0071)\n",
      "tensor(0.0068)\n",
      "tensor(0.0074)\n",
      "tensor(0.0060)\n",
      "tensor(0.0059)\n",
      "tensor(0.0081)\n",
      "tensor(0.0074)\n",
      "tensor(0.0053)\n",
      "tensor(0.0062)\n",
      "tensor(0.0053)\n",
      "tensor(0.0078)\n",
      "tensor(0.0065)\n",
      "tensor(0.0073)\n",
      "tensor(0.0072)\n",
      "tensor(0.0047)\n",
      "tensor(0.0048)\n",
      "tensor(0.0064)\n",
      "tensor(0.0074)\n",
      "tensor(0.0055)\n",
      "本轮结束\n",
      "5.77406747997711%\n",
      "tensor(0.0062)\n",
      "tensor(0.0096)\n",
      "tensor(0.0055)\n",
      "tensor(0.0049)\n",
      "tensor(0.0065)\n",
      "tensor(0.0054)\n",
      "tensor(0.0052)\n",
      "tensor(0.0066)\n",
      "tensor(0.0059)\n",
      "tensor(0.0079)\n",
      "tensor(0.0055)\n",
      "tensor(0.0045)\n",
      "tensor(0.0043)\n",
      "tensor(0.0078)\n",
      "tensor(0.0059)\n",
      "tensor(0.0063)\n",
      "tensor(0.0057)\n",
      "tensor(0.0097)\n",
      "tensor(0.0080)\n",
      "tensor(0.0059)\n",
      "tensor(0.0069)\n",
      "tensor(0.0050)\n",
      "tensor(0.0061)\n",
      "tensor(0.0057)\n",
      "tensor(0.0043)\n",
      "tensor(0.0075)\n",
      "tensor(0.0056)\n",
      "tensor(0.0046)\n",
      "tensor(0.0049)\n",
      "tensor(0.0056)\n",
      "tensor(0.0050)\n",
      "tensor(0.0063)\n",
      "tensor(0.0037)\n",
      "tensor(0.0063)\n",
      "tensor(0.0057)\n",
      "tensor(0.0057)\n",
      "tensor(0.0058)\n",
      "tensor(0.0047)\n",
      "tensor(0.0053)\n",
      "tensor(0.0056)\n",
      "tensor(0.0045)\n",
      "tensor(0.0075)\n",
      "tensor(0.0043)\n",
      "tensor(0.0058)\n",
      "tensor(0.0044)\n",
      "tensor(0.0043)\n",
      "tensor(0.0052)\n",
      "tensor(0.0054)\n",
      "tensor(0.0045)\n",
      "本轮结束\n",
      "4.903323546763646%\n",
      "tensor(0.0063)\n",
      "tensor(0.0046)\n",
      "tensor(0.0047)\n",
      "tensor(0.0067)\n",
      "tensor(0.0047)\n",
      "tensor(0.0047)\n",
      "tensor(0.0039)\n",
      "tensor(0.0045)\n",
      "tensor(0.0055)\n",
      "tensor(0.0062)\n",
      "tensor(0.0043)\n",
      "tensor(0.0056)\n",
      "tensor(0.0059)\n",
      "tensor(0.0047)\n",
      "tensor(0.0034)\n",
      "tensor(0.0047)\n",
      "tensor(0.0062)\n",
      "tensor(0.0049)\n",
      "tensor(0.0039)\n",
      "tensor(0.0061)\n",
      "tensor(0.0043)\n",
      "tensor(0.0057)\n",
      "tensor(0.0033)\n",
      "tensor(0.0072)\n",
      "tensor(0.0044)\n",
      "tensor(0.0045)\n",
      "tensor(0.0059)\n",
      "tensor(0.0052)\n",
      "tensor(0.0059)\n",
      "tensor(0.0052)\n",
      "tensor(0.0045)\n",
      "tensor(0.0039)\n",
      "tensor(0.0064)\n",
      "tensor(0.0047)\n",
      "tensor(0.0051)\n",
      "tensor(0.0035)\n",
      "tensor(0.0040)\n",
      "tensor(0.0050)\n",
      "tensor(0.0044)\n",
      "tensor(0.0040)\n",
      "tensor(0.0044)\n",
      "tensor(0.0061)\n",
      "tensor(0.0047)\n",
      "tensor(0.0050)\n",
      "tensor(0.0057)\n",
      "tensor(0.0059)\n",
      "tensor(0.0053)\n",
      "tensor(0.0041)\n",
      "tensor(0.0035)\n",
      "本轮结束\n",
      "4.401640494211989%\n",
      "tensor(0.0044)\n",
      "tensor(0.0045)\n",
      "tensor(0.0051)\n",
      "tensor(0.0038)\n",
      "tensor(0.0039)\n",
      "tensor(0.0031)\n",
      "tensor(0.0048)\n",
      "tensor(0.0043)\n",
      "tensor(0.0047)\n",
      "tensor(0.0060)\n",
      "tensor(0.0045)\n",
      "tensor(0.0050)\n",
      "tensor(0.0035)\n",
      "tensor(0.0044)\n",
      "tensor(0.0029)\n",
      "tensor(0.0035)\n",
      "tensor(0.0040)\n",
      "tensor(0.0028)\n",
      "tensor(0.0031)\n",
      "tensor(0.0033)\n",
      "tensor(0.0038)\n",
      "tensor(0.0063)\n",
      "tensor(0.0045)\n",
      "tensor(0.0044)\n",
      "tensor(0.0049)\n",
      "tensor(0.0028)\n",
      "tensor(0.0035)\n",
      "tensor(0.0035)\n",
      "tensor(0.0052)\n",
      "tensor(0.0033)\n",
      "tensor(0.0052)\n",
      "tensor(0.0035)\n",
      "tensor(0.0033)\n",
      "tensor(0.0052)\n",
      "tensor(0.0034)\n",
      "tensor(0.0031)\n",
      "tensor(0.0032)\n",
      "tensor(0.0039)\n",
      "tensor(0.0052)\n",
      "tensor(0.0044)\n",
      "tensor(0.0027)\n",
      "tensor(0.0042)\n",
      "tensor(0.0026)\n",
      "tensor(0.0040)\n",
      "tensor(0.0038)\n",
      "tensor(0.0051)\n",
      "tensor(0.0034)\n",
      "tensor(0.0040)\n",
      "tensor(0.0076)\n",
      "本轮结束\n",
      "3.8184202302309687%\n",
      "tensor(0.0049)\n",
      "tensor(0.0037)\n",
      "tensor(0.0035)\n",
      "tensor(0.0036)\n",
      "tensor(0.0021)\n",
      "tensor(0.0050)\n",
      "tensor(0.0047)\n",
      "tensor(0.0038)\n",
      "tensor(0.0045)\n",
      "tensor(0.0037)\n",
      "tensor(0.0027)\n",
      "tensor(0.0037)\n",
      "tensor(0.0034)\n",
      "tensor(0.0032)\n",
      "tensor(0.0073)\n",
      "tensor(0.0035)\n",
      "tensor(0.0022)\n",
      "tensor(0.0030)\n",
      "tensor(0.0025)\n",
      "tensor(0.0048)\n",
      "tensor(0.0036)\n",
      "tensor(0.0028)\n",
      "tensor(0.0033)\n",
      "tensor(0.0035)\n",
      "tensor(0.0064)\n",
      "tensor(0.0029)\n",
      "tensor(0.0036)\n",
      "tensor(0.0045)\n",
      "tensor(0.0037)\n",
      "tensor(0.0025)\n",
      "tensor(0.0026)\n",
      "tensor(0.0047)\n",
      "tensor(0.0029)\n",
      "tensor(0.0044)\n",
      "tensor(0.0037)\n",
      "tensor(0.0031)\n",
      "tensor(0.0035)\n",
      "tensor(0.0028)\n",
      "tensor(0.0051)\n",
      "tensor(0.0021)\n",
      "tensor(0.0025)\n",
      "tensor(0.0031)\n",
      "tensor(0.0034)\n",
      "tensor(0.0043)\n",
      "tensor(0.0046)\n",
      "tensor(0.0027)\n",
      "tensor(0.0028)\n",
      "tensor(0.0036)\n",
      "tensor(0.0037)\n",
      "本轮结束\n",
      "4.171288282947337%\n",
      "tensor(0.0025)\n",
      "tensor(0.0032)\n",
      "tensor(0.0037)\n",
      "tensor(0.0027)\n",
      "tensor(0.0042)\n",
      "tensor(0.0034)\n",
      "tensor(0.0052)\n",
      "tensor(0.0021)\n",
      "tensor(0.0033)\n",
      "tensor(0.0025)\n",
      "tensor(0.0039)\n",
      "tensor(0.0033)\n",
      "tensor(0.0023)\n",
      "tensor(0.0038)\n",
      "tensor(0.0038)\n",
      "tensor(0.0029)\n",
      "tensor(0.0036)\n",
      "tensor(0.0046)\n",
      "tensor(0.0035)\n",
      "tensor(0.0019)\n",
      "tensor(0.0024)\n",
      "tensor(0.0037)\n",
      "tensor(0.0026)\n",
      "tensor(0.0027)\n",
      "tensor(0.0018)\n",
      "tensor(0.0031)\n",
      "tensor(0.0029)\n",
      "tensor(0.0026)\n",
      "tensor(0.0031)\n",
      "tensor(0.0028)\n",
      "tensor(0.0026)\n",
      "tensor(0.0032)\n",
      "tensor(0.0043)\n",
      "tensor(0.0024)\n",
      "tensor(0.0024)\n",
      "tensor(0.0023)\n",
      "tensor(0.0044)\n",
      "tensor(0.0027)\n",
      "tensor(0.0019)\n",
      "tensor(0.0017)\n",
      "tensor(0.0036)\n",
      "tensor(0.0039)\n",
      "tensor(0.0042)\n",
      "tensor(0.0035)\n",
      "tensor(0.0019)\n",
      "tensor(0.0042)\n",
      "tensor(0.0030)\n",
      "tensor(0.0023)\n",
      "tensor(0.0026)\n",
      "本轮结束\n",
      "3.497771221483291%\n"
     ]
    }
   ],
   "source": [
    "epochs = 6\n",
    "for epoch in range(epochs):\n",
    "    i = 0\n",
    "    for xb, yb in trainloader:\n",
    "        y = lstmnet(xb)\n",
    "        loss = loss_function(y, yb)\n",
    "        loss_list.append(loss.data)\n",
    "        loss.backward()\n",
    "        opt.step()\n",
    "        opt.zero_grad()\n",
    "        i += 1\n",
    "        if i%10 == 0:\n",
    "            print(loss.data)\n",
    "    print('本轮结束')\n",
    "    for x, y in testloader:\n",
    "        pred = lstmnet(x)\n",
    "        true_pred = pred * (v_max - v_min) + v_min\n",
    "        true_pred = true_pred.detach().numpy()\n",
    "        APE_array = abs(true_pred - true_label) / true_label\n",
    "        list1 = (sum(APE_array.T)) / 96\n",
    "    rate = sum(list1) / len(list1) * 100\n",
    "    print(str(rate) + '%')\n",
    "    if rate < min(MAPE_list):\n",
    "        torch.save(lstmnet.state_dict(), 'lstmnet_2_19')\n",
    "    MAPE_list.append(rate)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c280d2b",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "尽量使MAPE降到5%以下"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "758b7903",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "2bb989fa",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "v_max = max(train['value'])\n",
    "v_min = min(train['value'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a74ffc8",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "预测测试集里的某一样本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a2f927c8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "plt.rc('font',family='DengXian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "449f8de0",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def picture(data, index):\n",
    "    pred = lstmnet(data[index][0].reshape(1, 96, 15))\n",
    "    true_label = data[index][1] * (v_max - v_min) + v_min\n",
    "    true_label = true_label.numpy()\n",
    "    true_pred = pred * (v_max - v_min) + v_min\n",
    "    true_pred = true_pred.reshape(96)\n",
    "    true_pred = true_pred.detach().numpy()\n",
    "    before_day = data[index-96][1] * (v_max - v_min) + v_min\n",
    "    before_day = before_day.numpy()\n",
    "    \n",
    "    \n",
    "    \n",
    "    plt.figure(figsize=(15, 5), dpi=80)\n",
    "\n",
    "    X = np.linspace(0, 24, 96, endpoint=True)\n",
    "    C,S,D = true_pred, true_label, before_day\n",
    "    plt.plot(X, C, color='blue', label='预测')\n",
    "    plt.plot(X, S, color='green', label='真实')\n",
    "    plt.plot(X, D, color='yellow', label='前24小时')\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "2ffacba4",
   "metadata": {
    "pycharm": {
     "is_executing": true,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "picture(test_seq, 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69c19f4c",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "预测训练集里的某一样本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "030f460c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "picture(train_seq, 6000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bce20893",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "加载训练好的模型参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "45a6f60e",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lstmnet.load_state_dict(torch.load('lstmnet_2_19'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5cadb1c",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "采用所有样本APE的平均值(mean absolute percentage error)MAPE对模型的预测准确度进行评价"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abc38cbc",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "APE（绝对百分比误差）：|y预测 - y真实| ÷ y真实 × 100%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "21b94450",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "for x, y in testloader:\n",
    "    pred = lstmnet(x)\n",
    "    true_pred = pred * (v_max - v_min) + v_min\n",
    "    true_pred = true_pred.detach().numpy()\n",
    "    true_label = y * (v_max - v_min) + v_min\n",
    "    true_label = true_label.numpy()\n",
    "    APE_array = abs(true_pred - true_label) / true_label\n",
    "    list1 = (sum(APE_array.T)) / 96"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "3212b3df",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 保存列表\n",
    "np.save('lstm19_mape', list1)\n",
    "# 加载列表\n",
    "a = np.load('lstm19_mape.npy')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc9bd461",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "在测试数据上的MAPE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "2ddc0599",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.3963830874783385%'"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(sum(list1) / len(list1) * 100) + '%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "f4e3bf3a",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.4174072209639403"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(MAPE_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "741b34fe",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 3.4174072209639403%  学习率0.01\n",
    "# 5.112414281889492%\n",
    "# 3.3253500115163472% \n",
    "# 3.509336767145658%\n",
    "# 3.3265849022677902%\n",
    "# 2.5648136045817487%\n",
    "# 3.7180047896266957%\n",
    "# 2.643353258284469%   学习率0.001\n",
    "# 3.5444131975630095%\n",
    "# 2.912302671616746%\n",
    "# 2.710766884894184%\n",
    "# 2.6025873555554324%\n",
    "# 2.489940402945002%\n",
    "# 2.537331301482852%\n",
    "# 2.588455757862332%\n",
    "# 2.3963830265355237%   2_19\n",
    "# 2.760494189992911%\n",
    "# 2.5639582831149474%\n",
    "# 2.526144454767527%\n",
    "# 2.4566337271037417%  学习率0.0001\n",
    "# 2.5035853808195125%\n",
    "# 2.4987265565244994%\n",
    "# 2.480592684999054%\n",
    "# 2.4888717922293098%\n",
    "# 2.446621709097229%\n",
    "# 2.4527354563694765%\n",
    "# 2.4554636838288126%\n",
    "# 2.47179303580078%\n",
    "# 2.464954966266887%\n",
    "# 2.5391807137356524%\n",
    "# 2.4853531681228853%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "dc563f1d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 每次训练后若模型在测试集上的损失减小，则保存这次训练的模型，若连续6次训练在测试集上的损失没有小于之前的模型，则将之前的模型作为最终的模型。\n",
    "torch.save(lstmnet.state_dict(), 'lstmnet_2_19')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33bb9be0",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "测试数据的APE分布的箱线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "a14fdd8a",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=list1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "915bfeee",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 0.05)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=list1)\n",
    "plt.ylim(0, 0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "38e8aa28",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00552235"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(list1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "0eff4088",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.20759602"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(list1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e33c0764",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "测试数据的APE分布的折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "d0becebc",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(0, len(list1), len(list1), endpoint=True)\n",
    "plt.plot(X, list1, color='green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86cc41f4",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "测试数据负荷值的折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "5f99dcf9",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(1, len(test), len(test), endpoint=True)\n",
    "plt.plot(X, test['value'], color='green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb7f761d",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "除去误差较大的预测结果后"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "4222437e",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "list2 = list1[:2000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "06f4e59d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.4876580110285431%'"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(sum(list2) / len(list2) * 100) + '%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "dc5cb902",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=list2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "edbc0629",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 0.05)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=list2)\n",
    "plt.ylim(0, 0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "ad998df8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(0, 1, len(list2), endpoint=True)\n",
    "plt.plot(X, list2, color='green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0311db19",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "训练过程中在训练集上损失的折线图（以小批量为单位）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "6b000908",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+axlXJK/PeT01P67J6XedvkLPnLtobl6d/epyXdPY1NjuBwiqxQOvPJD/uvC/3vbvy9vx3Iznyr6nAQAAAAC6O6EudKHtNtgul+93eZvBYXt+8OEfZPox01uFpnW1dRnziTHZ5p3bpKamJp/e4tPZcciO2endO7V5n2KncJL07dm3tH3J5y5Jw/9ryF5b7JU9t9gzNTU1+cq2X8mXt/lykmTDdTYsnbt2j7Wz5xZ75sJ9LiwbR92zrmcu+/xlrZ5ZW1ObIesMWa73W9QyWNzundut0D2S5Jlpz7QK9j53+efy+NTHW5374szWY4G3OWeb3P3y3bn1uVuTlIeET097epnPfWPuG+l3cr989e9fLRvFvN8V++UDv/tAvnH1N/Kz8T8rHb/p2ZtK2y2D12Knact1k3f+w8756t+/mpdnvpwkeW3Oa6XXnpr2VKt7FM8rHr/+metzyYRLyupteY+W3yvL4yf/+kmS5I6X7mjz9bZGTRf3f/zPH2efy/ZpdU0x4H78jceXed/2LP17f8Y9ZyRJfvXvXy3zmnsm35Mk+cHNP1ju5yXJLufvkneNeVer8L09X7/m6+l7ct8V7kyePGtyrn/m+o5PfJs++edP5rbnb8tFj1600p/VlqZCUzb91aZ579nvrcjzAQAAAACqkVAXqkBNTU3W7b1ul96zZ13Psv362vpc/YWrc80Xrml1bnFs89o91s6U0VMyaO1B+fI2X86j33w0vxj1iyTJWvVrZeMBG+d7O36v1fVthbo/3f2npe03jl4SeP7XJv/VZr1f2vpLZfsX73txPr/V51ud9433f6PVsYdee6gUdLb0vt++r9WxttbtTZIP/+HDGfmnkTnj7jMy+BeD2zxnaeNfah5hfNGjF5WFukny4KsP5v8e+r9cPOHiNq8d9+y47H3p3pm7aG4mvjkxSXkQf++Ue3PBwxfkg7//YAaeOjAj/zSy1T0ufuzijJs0Lkn5+r7zGubl0xd/Ov/91/9O0twhurTisTmL5uTD5304J/3zpLJu4GUpfmChZaC8YPGC0vNr0hwWP/zaw2Wdlu11qBY7Qkf8dkR2PX/XZY6VPu3O01Lz45qycDopD3XfnPdmqYaW466XVuwoTrLM57Xn4dceTtJ2R3JLDY0NeWbaM0mSCx6+IEny0syXlnl+y3B+adues20+ffGnl7tDeHkVf6+W98MpSXNH+Q3P3PC2nl8c7/3K7Ffe1n2q2fK8t5kLZrb6kATtmzZv2jL/rqe1X9/763z2ss9W5Nkz5s9o9+9EAAAAAJYQ6sIa5oRdT0iSvGdA2yOU21JfW5+HDnsok46YVDbCuUddj3x1269mu3dul6sPvDpJeZhXDIPXW3u9vH+D95dGPh+/6/HZ9T27JkneO/i9GdxncA7e9uDssdkeqa+tb/X8C/a+oNWawTtvtHP+Z+f/aXXuPsP3yWvfLw/1xj07rtPv9aHXHmr39dE3je70vYpjlZO0CnU78sJbL+Tqp67OtU9fm8feeCxJ22OT35j7RmYsmNHmuOS/PvnXfPLPn8zT054ue/43rlkSfBcKhfx7yr9L+8Uwc/ai2UmSm5+9OXdPvjsn3n5ivjeuPLBvbGrMjZNuLAuUit3ELWs95uZjsv7p6+eKx68o6wBuuUbypY9dusyvxdLjr5deI/e0O0/LFY9fkWNvOTZJ8tCr5b+HxVD3luduyeBfDM7fJv4tSetu4ZZahrq9ftqrzXOvf+b6Ukdvkvzlib+06tyevXD2Mp+RJN+98bvZ4tdb5MFXHywdW1Zdf3z4j9nozI3KvlZvLXirtD508evS3rjwrjB/cXO437tH73bPa6tL+bBrD8unLv5Urpp41Qo/v701m1dXDY0NpQ9NXPH4FdlwzIb50yN/6vC6iW9OzIBTB+TEf5y4sktco2wydpNsMnaTSpex2jjihiNy1cSr2vwA0Mq22Vmb5T1ndv7fK1SPxU2L86dH/pSGxoa3dZ+PXvDRfPGvnVu2BAAAALo7oS6sYU7a/aQUTiyUhbOdse07t80G/TZodXzQ2oPy4GEP5qMbfzTJklG5H9vkY3nhuy8kae40fuDQBzLzf2amcGIhP/3YT7PrRrvmvM+cl9u+cluS5Py9z8/1X7w+26y/TZLkqB2OKj1jcJ/BZev4bvfO7bJhvw2zzTu3KR07eNuDc/chd+dTm38q6/ddP5sP3Dwb9d+oFCwnabOL+AsjvrBcX4eWtn/X9p0+d2Hjwhy87cHL/Yz7XrmvtLZsy/V7l8cRNxxRFuq2DHFPvfPU7PyHnVtd890bv5sz7zmzLOS+7pnrys45696zssef98ipd5xa6iAtdm+2DF6L1933yn15fc7rpePnPXRezr3/3Hzt71/LodceWjr+iYs+UVpHOGm9pu53b/xuGpsac8MzN6Sp0JRjbzk2+1+5f+n1XvW9ys4vhrpXP3V12fG/PvnXspDiyalP5if//EkWNy0uBZdJ0tDUUFoj+PkZz+fZ6c8mST598aez03nNo85nzJ+Rz1/x+Qz79bCyZ3TUqXveQ+clSc6858zSsc9c8pn84/l/5Ie3/DDbnbtk7PiVTzavxXzt09cmaQ431z113Rxw5QFl92z5tVuZ2gvFH37t4fT4SY+c9+B5Zcdvfb55hHnxa/j0tKfzm3t/0+r6s+87Oz+4qe3R15UMdZ+e9nR+eMsPlzvcmrlgZrud7juet2PW/nnzn53ih0H+OvGvHd63uC70mHvGlB3/5rXfzPdubP33XVd5fc7reeCVB1ba/Ve24odWdDgvn5Z/L64qxXH0K+P3qqnQtEKTGOicn4//eQ666qCccNsJb+s+/3rxX8ucagIAAACUE+rCGmZF10rtrOGDmtfZ/chGH2kVrrV8dk1NTb623dfyjj7vKDvnpx/7aS753CU5/eOnZ+9heydJNh+4eTYesHF22HCHfHKzT+a+b9yXutq61NfW51393pUk2bDfhtlxyI6l+zz8zYfz9HeeLnVcnvPpczLmE2My/ZjpOftTZ2f4esPznv7vySYDVrxba9bCWaXtPbfYs81zfr/X70vbH3rXh9o8Z2m96pZ83Vp2GRcD8+V107M35R8v/KPN13546w+Xed33xn2vtEZukgxYa0BZmPX4G81rEh9323HZ6MyNct3T15VC3TPuOSM1P67JB373gdIP4//xwj/yh4f/UPaMb173zZz/8Pmt6t30V5uW9i9+7OKyoPLiCRen/if1+dTFn8rJ409uVfe8hnml7tWkuVv25Zkv56x7z2p17p8n/Ll07leu+kp+dPuPcuEjF5aNhk6WdHAP/dXQbHbWZq0ChmWtgzvhjQllHasHXnlgaYzpBQ9fUPr+/NOjS7oyp8yeksOuPSyn3HlKHn7t4VKIWfza19XWZfvfb1/qXvv7U3/vVC3t+eVdv8yIs0cs6fqdN60UZC/L/Ib5+dMjf8qjrz/a6rVrnmoe437aXaeVHS9+Lepq65Ik2/9++3znhu+06q4+/PrDc/rdp7cZuFQy1N39j7vnlDtPKQXri5sWt/rQQZJs/dutM3Ts0NL+gFMHlNYA/ssTf8lTb5aPgy92ahcKhdLXqK2pBUtb1rnnPnBuzvz3mZ18V8tvq7O3ygd//8HVvmu6rekHq9pP/vmT/Hz8z9t87YZnbsgBVx6wXGtzr0ztjclf2VpOT+gqdSfV5SMXfKTL70uz4rIXT7z5RIUrAQAAgO5DqAssl2N3OTZX7HdFTvjIinVm9KjrkQNHHJi62rr87YC/5ZXRr2TzQZunR12P3PP1e3LDF28oBUJJsvO7m7tMn5ha/kPDtXusnV71vXLFfldk5NCR+cL7mjty1+29br61/bcy4VsTMvE7EzN6p9H55GafzB/3+WPp2g9s8IEkrdfxXdqshbPy+tGv56WjXsoFe1+QD234odTV1OXvBy4J2Q7Z7pD87YC/5bhdjss3PtB6vd+l/fxjPy8bjV0cvby0tXusXRp1XFRfW5+PvOcjpfpbWjr4Wx7FNZEfe+Ox1P+kPjU/rsk9k+8p+31Ikj0v2TOPT20OeothyYOvPlhau/L+V+7v9DOL3clJc2fqwNMGtnleW+9r1sJZpU68JPnVvb/KRmdu1Ob1v77311nrZ2vl++O+n/teuS9JcsjVh+Syxy8rO68YYBcVO02T5g7glh21LcOHA648IMfe3DwW+rU5r+Wyxy/LVROvytxFc3PUjUe1WVPS3J1edPnjl+fKJ64sWwP4/lfuL3Vf19bUlnVA73v5vtnviv3KAtHbnr8tNT+uya3P3ZrX57yek/55Uv765JJO0KNvPjqPT308U2ZPSZIMOWNIhv5qaJ6Y+kRqflyTm5+9uVWNr899PQdddVC2OWebVq/V1jT/86Gp0JQLH7mwtF5wMZwq/m/xgxHFzu4Z82fk43/6eOk+S4/aTlZeqPvmvDc77AYsrnU7e9Hs7HvZvtlk7CYZcOqAUjd4oVDIpY9dmglvTMjzb5WH4s+/9XxmLZyVz1/x+Qz/zfA27z9/8fzS1+bKJ65c5p//JBlz95gcdu1hSZIetT069ya7SPGDAy0/2LI6qmRIWfSj23+U4287vs3XPnXxp3L545e3+vvn7bryiSvzh4f+0PGJS6lkCN7ygzpdofj34x0v3dGl910dPTv92ZXyZ6G4fn0luqEfe+Ox0tr2STJl1pRVNsVidfX0tKfz3rPfW/bvG1bM5Y9f3ur/lwAAAKwqHbeJALRQX1ufz2/1+S65V01NTZsjn1s6/eOn54W3Xsjxu7b9Q/GPbfKxfGyTj7VZZ31tfdaqXys3fPGGJM3BXY+6HrnluVuSNHcIt+e4XY8r6zT+99f/nUKh0KojeZ/h+2Sf4fskSa7Y74rc+tytqampSf9e/XPKnaeUzi2c2PyDz1fnvJqnpz2d/r36L3N91GLtLcdhbjJgk/zz4H+mUChkvyv2y6ihozJ8veHZ7Y+7tbr+2J2Pzal3ntru+yva+d07two5P33xp9sMj4ve1e9dpQBsZXp1zqutjt32/G2lELEjxSB36fG1SwfQd0++O4+89khpf4tfb1Ha3vvSvcvOXbpT9g8P/yHH7XpcNvjlku/lvif3bbeulgHGV676SpKURpBf+MiFZedu0HeD7HfFfqX9RY2LcuUTV2b2otlZp9c6SZrD6yQZ+aeRZdcWTiyUrcc6a+GsLG5aXApOf/9Ac6f56JtGZ8K3JpRd+9LMl8r2H3ntkdz/yv055P2HlELdSdMnldVf/Nos/cP1OYvmpKnQlHef8e6yjvQDrzwwtxx0S9m5p9yx5M/MxRMuzvbv2j6bD9o8hUIhv7nvN9lvq/2yft/1szwmvjkxW/5my/zPzv+Tk0e27v5e2pNTnyytzZw0j/I+9AOH5oKHL8jXrv5a2bktQ/62unpbmrtobllX5hl3n5Hz9j6vzXO/f9P3S9s96lZNqPvK7FfK1n+euWBm3tHnHbnp2ZsyY/6MHDDigHau7nqvzXkt8xrmZei6Qzs+uQ0tv9deeOuF1NfWlz7EsrJc+cSVGTV0VPqv1b/TY7xbfqCjKxT/vvjadl9r8/U5i+bkuRnPtVrLvqKhbmPnQ915DfMybd60rNt73cxZNCd3vHRH9thsj/Tp2ad0zopOvljTvDH3jWx21mbZdaNd86+v/qtL7138t1AhKx7qrujY7ff99n3Nz/7Pv6uGnDEkvet7Z97xle/Or1bH3HxMnpj6RE74xwm55HOXVLqc1dbshbNLy2IUv/+WNvHNiVm4eGHZMjLV6JbnbskHNvhA1u29bqVLAQAAloNOXaCqbdR/o9z7jXvzgXctO2DsrFNHnZqffuyn+fO+f87B2x6c7+/0/Yz/6vhc99/la8nutcVeWfz/Fuc7H/pOq3sUf4h505duyhPfbv0p/c9v9fn8ds/f5uxPn52TR56cwomFnL/3+fnDZ5Z0TZ068tTcfcjdOf3jpy+z1vra+owcWh7QfWjDD5VquHL/K3PYBw/LRzf+aJtr+W42cLNlfyH+oxgifmbYZ1q9Nn3+9Nz83JLuzeHrlXceThk9JU8e/mSb9307I6+X1tY6w+c9dF5ZbW1ZnvWQk+Yx2Nueu22nzp02r7y7tL62Pu84/R3LOLttbQXiL858sc1zZy2clfEvjW91vNg9+uTUJ3PvlHvbvPbNeW/mpH+dVNrf4f92yGl3LhmZXAxnp86dmqS8S/bcB84tu9e2526br1/z9bw57802x7z/9v7flranz5+ec+9fcv1nL/tsvvTXL7UKWm59/ta8Ors5uH/hrRdyyN8PKRtV/cW/frH0w/srn7gyR9xwRD5/ResPlTQ2NaaxqTHn3n9ubnv+tlavF4PKU+48JT+46QeZMmtKq3OSJZ1nS3cQFzvCip3OLZ/bMghbOpBPUrbe9byGeWWhbq/6XlnctDjT508v66xeWsvxyy2Dwm9e+82cfteSv0eemPpEfnHnL0qdczMXzMzOf9g5419s/f2z8ZkbZ48/71F2bPvfb5+9LtmrtF/s1P3ERZ/IgX85sOzch159KCMvHNlqlPmKeGvBWznpnyflgVceyJn3nJlPXvTJFAqFbPDLDcpGtS+vGfNnlD5AscnYTfLuM96dybMmL7Ojb9bCWcsMmQqFQocdbjc9e1P2u2K/Uqha/DOapN0Ry101fvnJqU+m5scdL8Gwx5/3yDbnbNPqgxtdEYR+5pLPZJc/7FJ2bPbC2bn+mevbvW55OnU/9edPZaMzN8qWv9kyG/yy+UMvB111UNk5XfF92VlzF81922sCFwqFldL5V/z7ta3/hiyvOYvmZK9L9sp9U5o/LNUVnbpd2aG99JrQT0x9Iuc/dH4amxrz49t/3Or7vbspfnikrqaugzNpT1v/Ll3alr/ZstP/pqyUB199MKP+NCqfuvhTlS4FqtrCxQurYjkPAICWhLpAt7PpwE1z/t7np0/PPtllo12yx2Z7ZOwnx+bRbz6ahw97OJd87pJWo4eXNmrTUdly8Jadet7B2x6cr2731dJ+7x69s+OQHXPQNge1OveaL1yTjQdsnIv3vTi/+dRvcsSHjsg/D/5nDtrmoJz5yTPbvP/3dvxekiVhaq+6XqUOzqVtMWiLvHH0G7l434vzr6/+K5d+7tJ8YcQXsuV6S95Ly2s/t+Xn8oMP/yCXf/7yVvcavt7wfGLTT7Q6/sg3H8kH3/XBNp/flXbdaNdlvvY/u/zPSntuW8FeWz/Q//YHv73Me7TVgdyWnnU9y0ZNt1QMl7c+Z+tWNZWeM7v8OYsaF5WNgi2uifjG3DfyzLRn8sArD7R5n9HjRpe2P3zeh9sMIIsBcZJMXzA937zum2WvX/JY251BJ95+YpoKTfnCX77Qak3mZEkHXzH0fm7Gc2WvNzY1ZvAvBucDv/tAvnndN/NfF/5Xq3u0DEJPv/v0fPayz7YZRBTD6qV/+D951uQ0NDbkl3f/suz4rIWzysaanvCPJWPp73/l/sxcMDOb/WrJByzmNpR36q5Vv1bW+ulaGXTaoHzu8s/lxkk3tqopKQ91W66Tfe4D5+YHN/8gz0x7Jm/OezM7/2HnHHPLMbln8j1JmkdE3vXyXa1+aNvY1JgXZ75Yel5jU2M++LsPtvqwwdKTBFp+n3/64k/n1udvLQXZtzx3S6d+2N1SoVDIDv+3Q9Y9dd2cePuJ+eDvP5jvjftexj07ruzZB191cPa8uPW65oubFmer32yVM+4+I0nzhxNafn0/+PsPZsMxG5Zd8+4z3p2Bpw0sey+vzXktFz5yYfqf0j8/vKXtdchPv+v0bHbWZu2Gk8Ux6cUPFrw257XSazPmz0hDY0MOvurgVpMGumo0bnsfDGipOJJ46XC7K35oec3T1+TOl+8sO/bFv34xn774022OeS9qq1N3cdPiTHh9Qh569aF85aqvlALAf774zyTl4cpNz95Udm3LULezHdMtfevab+UXd/6itP/K7Ffa/Po8OfXJ9D25b3b/4+7L/YyWznvovLz37Pe2+t743QO/y4BTBnQ4BWBZGpoa3lZdLV3w8AW59ulrs+/l+yZpv1O3qdCU6fOnd7h2e1eM21/W7+8Hf/fBfO3qr+X0u07P//7zf/OJi1r/e+XtKBQKpQ/tVGIEdXuen/F8an5cU/Y9XPw6tfxvdVeZvXB2an5cUzYZpDPOuPuM1Py4ZrUanb2sf2+tboofbrtn8j35+fift/r3YkuFQmGlrHvOijvpnyfliOuPqHQZFTFu0rjSkjOrwojfjkifn/fp+MQqt/SHkgGA1ZtQF+j2ampqcuQOR+Z9678v27xzm7IRjitTz7qepWByg77No3t33WjXPP/d5/OJzT6RAWsNyK/2+FU+8p6P5I/7/DHrrb1em/fZev2t89r3X8v9h96f7d+1fW744g35/FafzxX7XZG3jn2rdN4dX70jDx76YAb3GZwvvO8L2aj/RjlgxAGpqanJXYfcVTrvqe88lR/u8sNs987t8r+7/W9OG3Vathq8Ven1a79wbWm7rbWV+/Xql9u/cnvGfHzJyOP/2mRJ0PatD35rOb9Sbfvnwf9c5mtLh8qHvv/Qsv29tljSjfjF931xuZ679A+GW64P3NKpo07NtGOm5cSPtv4hZ9+e7Y9nTpp/vw7e5uDS/vG7Hp+mHzXl93s1j0x+fe7r+e+//He7XX6Tpk9q9xnXPdPcpV5IIVv8eovscv4ubZ53xj1nlLafmf5Maax1Sw+8+kB61fVK/179S52/HenXs19+/+Dvc+UTV5Z1NS7t8OsOz+yFzeF2nx59ct3T1+WiRy/KVROvSv1P6jNjwYw88vqS8dn/evFfGXTaoPzoHz/KG3PfaNXFd98r9+Wc+88p7d/50p3Z5pxtSkHf0uvlTp41OWffd3ar7r9ZC2cts7tx+99vnwGnDigL5Q+//vDc+vySH0KNe3Zc2ejdO1+6M5c9Vj4KPWkOdRc1Lsr8hvn5xV2/aPX6Fr/eIlv9ZqtSfU++2dxF37OuZ5LmDruWoVfLsLFQKOStBW/lgVdbB/ozF8wsC11mLZyVQqGQ52Y8Vzr+3Ru/m/6n9M+oP40qdVV31vT505fZZd5y7eU/PvLHXPfMdRk9bnTmLJqTpLlz4u8T/54n33wyo28anWenP5t3nP6OHH3T0WX3mTZ/WptrA9edVJfjbz0+j77+aDb45QalMeKn3XVaq3OT5PInmj/Yct3T17X5erLk6138PW354Y3p86fn/x78v/zxkT+2Wm+7+J7erqU/jNTQ2H6gt3QY116oe/OzN2fbc7ZtNX6+qKnQVBauNRWaSh/A+McL/0iy7GkEyZKOzcseuywXPXpRXp/zer517bey9Tlb5/2/e38ufOTCXP3U1cu8fumvYcs/q8Xtix69KE+9+VSray9//PKc9e+zyo6d88A5OeaWY0r33nDMhvnkRZ9Mkhxx/RFZ99R101RoKn0w5l8vLhlt3FRoKhvn3xnFZSGWXgrhsGsPy8yFM5drzfqWurK7qPh1LK7x3V6n7nG3HpdBpw3K0F8Nbfe/BysS6i79Iaplje4udu4++FrzpIalPxDUlrH3jC19KKYjv3vgd1n/9PXztb9/LbUn1ebpaU936rpVofj92PJDXMWvW0cfWmzLzAUzM3rc6GV2wD8z/ZkkKZsM0hmjb2r+wFjL9ZFXtTtfujMn/uPEFAqFNDY1dvj35rImfbRlRT5Qsqq0/HN0/G3H5zOXtp7aU/Sz8T9Lr5/2sh5zFTnx9hPz6/t+XekyKuKcB5r//f77B3+/Sp7X0f+X6mqvzH6l0/8d6qxLJlyS9X6xXv4+8e9del8AoHKEugAVdNOXb8pT33kqj3/78Tzx7SfSf63+K3Sf9fuun4G9B+beb9yb3TfZPbU1tfn8Vp8v67ptL7AesNaAnD7q9Oy75b55Z9935uf/9fM8eNiDGfGOEUmafwj49wP/ngcOfSCf3uLTpet22WiXXLHfFXnqO0/l/m/cn0lHNP8f3z49++SoHY8qnXfl/lfm13v8Ojd+8cac/emzc/j2h5c9/5xPn5Nedb2yxaAla9nuNGSnPHDoA2n6UVO+8f5v5Ke7/7TsmrZGABe1XDfztoNuy1mfOitPfWfJD/NH77Sk8/TUkafmr/u33+F23mfOy4C1BrR7ztL69OiTgb0HZr+tlqyHu9cWe+XWg27Nl973pbJzlx61nSQffveHy9Y5G7ru0NTU1JTC/b0u2WuZ3a9FxY6qVWHS9EkZss6QvLv/u8sCjqUVv47//b7/zq0HNQecR9xwRLvhw9n3n51JM5q/t56Z/kz2vGTPfPlvXy5ba7ilj17w0UyfPz0/+ddPcszNx7R5zsWPXZwFixfkDw/9Iftctk8eff3R0mtL//B/yuwprYLepLmTdXm6LG9/4fay/aXHrf50/E9z4F8OzEOvPlR2vCY12e7c7bL2z9de5r2nzlsSnBxy9SGZuWBm2Q/vv3Vd84cpCoVCWYfjzc/d3GZ3c9Ic4rbs3p0+f3rG/ntsNv3VpmUfZiiGpssz8nbKrCn5zg2tR9wXtfXBgTPuOSOn3tG8VvgxNx9TNoq7GIqN/ffY/9/eXUdFsbh9AP8uIAhSAgqKioGtKJjYXRiY2B2o2N3X7lYs7FZUVLA7wUBERUUFA5QG6dx5/9h3Zmd2Zhfweq/6u8/nHM9xg93Z3YndeUr8WOHixwKAZfeWocZ28cxDqXbVbMtS9yfueBH5QnQ7AFFVPT8A6hfuxwWGrY2F1cM/EtS9FnIN/U/3R7Y8GwnpCbj98bagihvIPaCnerumdbnzsc54Hvkcp4JOSd7eZG8T6CxWVpSffHUS5TaVw6Lb0kGe9Ox09D3Vl7vMBuZ6n+qNAWcGwGqtFTyeeQj+JiY1Brv9pWdQq+Kvi3FpcQiKDsKAMwPQ4kALAIrtgA1Guni6YPyl8dz9+UGdjOwMrrqFbWG85fEWJKQnIDEjkUs2AYANvhuQnp2OMT5jUHNHTTz88jBPywoo94vqguZSc5ezcrLUBkU/JXzCu9h32B+wX3B9Zk4mxvqMxbvYd3letgvvLmDU+VFcNSX7PUVTpe7K+yu5/6u2s+fLLaj7Ie4DvN54Ca7jv+cAkJYlbLvM0tfRBwAukJ9bm/OkjCRMvDwRjrsdNd6PdfjFYQDA3oC9AMTt9+PS4rigXmRyJHdcufrhquSYAP7f8Y9HP4L9TPjfk/5O++Vld5dhve96jL2g/O72Ovo1152ADfD/KE3f535ETGoM2h1qh9fR0mNC+BrtbYRFdxYhMiUSTfc1he4SXY3351fq5lahLZVQ9LtQTY748v2L2vuy+3HVLgz/lNSsVBwKPPTbVcD/6SKTI//RRAPPIE9u3Mn/on9rfSy9oTQcdzvmmmCSH4deHAIAnHot/R2OEEKINFdvV3Q51uVXLwYhkiioSwghv1BBnYKoYF4BhfUL57mdc37wT5TlVh06pcEUnOql/sde54qd4VDMQXR9jyo9UMG8AmoVr4VyZsr5lzKZDHu77MXpXqdhWtAUY+uORVtbRZVrcaPiAIAiBkUQNTUKo2qPQvrcdEFF7+rWq+FQzAEymQw7O+0UtFR2LCF90rW/XX80K90MWjItePfxxp3Bd9C8THPoausKAsb6OvpwruQMALAytEI723ZwKu8keNz5TeZzFb12lnaiwOtUx6kob1Ze7fvFvvf8wPq5PufQokwLUfCeX5ELAMFuwZDJZNz7BADlCpcTPR4A9KnWR+0ysMz0zXK9z89QwrgEihYqKhmAYLFV3zGpMahjXQdWhlaISomSnDPMJ1UhkpdZpPuf75e8Xk9bD9OvTsewc8NEVcKqbQajUqJEbVEBYNvjbbj4/mKuy5Bflz9cFlxOzUrN97zNZvubYcKlCdzlkPgQrH+4HlqLtLggBKCoPOdXOfMNPjsYhwIPcZdnXZ+FSZcn5Ws5WO9i36HB7gbc59h4b2Mce3ks349z78s92O+wx+5nwuAeWykmRd2JaDboo6rJviaiqjt+gJxt/6tKqpKbNchrEBfUZysdWcmZyfk+Wdj6YGscfnEYj8IfYbTPaDTb30x0H9UqcoZhUN+jPndZNRimKQjMViFverRJsmpU9T1mWzwvuLVAMOOZ5RnkKUhKycts1TEXxmD4+eG53g8QfhaxabG4/VHxmX1N+oqY1BhoLdISVb1n5mQiKydLMNe78d7GarsxXPlwBUdeHuEuT7o8CdOvTufmkednhivbblxdx4L07HRBIBoA7HfYQ3+pch3OysnC9ZDrYBgGpTeWRoUtFUQt7Y+8OAL3J+75mqPpdMQJO/13wi/cDwBgovf/QV1eIC8wMhDN9zfH/c/3uUAfix+EVQ3I8oO67P48KiUKZ16fAQDYbrZF1+Nd4XbBDfY77AEIK76z5dmiWbosK0MrAMrkmdzmHqv7nEPiQ/DgywPR9arH1ZD4EKRmpaLY2mIY7DUY5qvMscF3g2JZ1lpx88HbHGrDJdLkyHMEx7bbH2/DdpMtamyvIdmSeMeTHfDwVyQ7pGenc+u1KnY94X9Gqu2XT7w6gZLrS+apswZ7TOcntFRxr4IS6xUJdOo+A0BRIb/jiWKbeB39Gu0PtxclL/ysueKsJXeW4PKHy4IgdG5Ss1K5/Zim/TF/G1UdUaBK0+03Qm+IthU+hmHwIvLFPxZIUv2epqmCmx0BkdfP6WPCx3yPY+Bz9XbFgDMDsOeZcP+VlZP1t+eX/6/J6/oRGBkIq7VWKLOxzD+SbJAjz0HPkz1Ra2ct7rqQ+BB4vfHCp4RPPzVAyXWJkEgokvI+7j1kC2XY4LsBb2Le/PDz/lstyNmxCeo6Af0dPzuB5t/0LvadZJv46JRoyBbKsO7hOom/yp9rIdfy9H2UEPK/KSM7A52PdhYkX+54ukNjtyhCfiUK6hJCCPnHDK45GF0rdxVdz7abjk+PR5FCRbjrO1dUtH/b1WkXGpZqKPgbbS1tMAsYBI0JwsV+0oG0g10P4uYgRatPpwpOaGwjnLvLzjEuU7gMPHt6Im1OGrS1tKFfQB/efb3xYNgDyOfL8XTkU/zV7C949vLEncF3ULt4bcxuNFtQYexa2xW9qvaSXI7CBZUVtlLzjdmT4gBQw7IGXKq5oGzhstx15c0VwWJ2TjIALijNVk+zpjhOwe7OmqvX7g4RVh6yAZrcbO2wVXC5Q3lhIOD6wOuCwHMJ4xKC1r5S2PnN7InRg10Paro7hw0o/Kg+1fpgSE3lbGs9HT28in6V69+xn4vUydntT7cL2luq4s+qzg9+xaVpQdMfquQMiAgQnThnW12yQae8WHBL2T78xCvxbG1VZ9+cRfcT3bEvYB8W3V7EnYAZe2EsHoY9xIp7K5Ajz5GsfM6LWx9vISAiQHCyS19HHy+jXubpNfCpa9sKAAPODIDtJlv4hfnha9JXQVBHBplkG2Z+0NLF04Wrjlb1PPK5oPrwRdQLGC03wpEXR0T39Qvzg+kKUzwKf4SsnCxR++DEjETJymJAUXkbHBsM3cW6cPF0QUpWimA7Ug3iDj47GDue7BBVcS69s5Q7Cfwy6iXq7KoDQFHRvPLeSsmTylKJAlOvTuXaGL6KEm5754PP5zkIqqetJ3m9q7dyjjc/IBaXFse1dy1pXJJrjTzj2gzB3y+/uxxzbszBsHPDuOsef30s2I74r9XF00U0B3vzI2UbZ/6J84PPD2qsjmW3k8/fPyM+LV50UjEhPQFDzyna/LKBFXb/Nf7ieO71tDrYCjuf7pR8jkmXJmHrY8U+nQ3kTbo0CWN8pOe/Pwp/hAkXlYkhD8MUlcfsSWF+++WR50fi1sdbaLS3EazWWgkex+edD5IykhAaHwrjFcaYeU2ZoMUP6s6+PhuAItGk24luggr7rY+3IiAiABnZGYLq+pTMFEFgkx900i+gCHjz5wovvLVQFMRkg0T8dYa/vZfbVA4N9zQUBbRUk7NeRL1AQEQAIpIjuGSiPQF78DHhI3cf1c913s15sN1siwdfHiA2NRbN9jfjgsuqFc5pWWlw9XHFiPMjAAATLk5As/3NJPdFmip12eCui6cLwhLD8tTmk00KZKtU2dfBvieajlEDzgyAq48rBnkNQhX3Krj0/hKGnRuGAWcGcPfJ6zEut+4DJ1+dxIyrM7hZxwYFxN0t3sW+w5TLUxCbGisI0vATDjRVkPOD/1IBcf5jqpuFHZsai5YHWqKKexXRbalZqZh5bSb+uvUX7Lbb5dqRhV12hmHw7NsztYF+qefh01TBXUBbkYikLqjLJp0AwNwbc1FmYxmUXF8SALDg5gKcfHVS7WNHp0QLthEAXLUn//qkjCToLtHFWJ/cA/VJGUk4+uKo6Nj0+ftnXHz38xPx/ilPvj7BlMtTRIFs/vqZ17np7PzZL4lf0O34z+/iI9VlosLmCuh6vCtKbyzNJRmmZaX9tESFvDyOT7AP3B+7A1AkXlXe+uMJ1D9znIEUhmGw/qFy3M3PGs3xT0vJTMnTeANVwbHBWP9wfZ7XhwpbKqD4uuLY+miroCMU+712ypUp+V4GPu9gb7Q+2BqjvEf90N+ff3seWx9tzf2O/3EBEQGizibAz0/u+hMkpCdgwsUJv3VXj3/C84jnsNlg81uOdLj96TbOB59X28WMkN8NBXUJIeR/3Fu3twgZn/8fW/+kYkaKoK7qF/h2tu0QOTUSw+yHSf0ZAKBykcrcydRzvc9hdqPZiJ4WjU8T1c9rZO3uvBtx0+NQtFBRaGtpo6BOQdF9ZDIZVyGsq63LBYbti9ljS4ct3N8ULVQU7WwVMxb/avoXQieEok7xOvAf6Y/Pk5TBCWM9Y0yoNwHneisz/NjlN9EzQYBrAHS0dATtoVllCiuDuux7VrRQUeTMV1ZYWBtbY6j9UDS1aYoqRaoga14WzvZWzkza22UvqhSpgvN9zqNhSUWgfHCNwdjbZS8ipkQI5i6r4gdsAWBivYmCk6QtyrRA2CRlNUYJ4xLcc6ha1WoV+tv15wKrA+0UAXZ+MJuviU0TtC7bWu2y5YeZvhn2Oe/Dni7Kqo+0rDRRxaSUHpV75HofdZzKO+V+Jw06lO+AThU65VoN9DtxPu6M069PY8jZIVhwawHWPlwLQHEiEVAEUi+8u/BTnzMtO42rDOWrVayWxL2VpCp+DndTtFR9FP4IH+I/YLTPaC5oxnK76IaORzsK2ml/S/qGqyFXucv8AHhNq5qi5+l6XJnssvnRZqRkpWDZ3WX4mvQVNbbXwJ1Pd5CenY69AXvxPeM7hp0bhmlXp6HS1kqCYNcgr0GCdqB8Yy+MRcUtFZElz8KJVydEVU8vo16KqnVdfVxRYYuyq0FIfAjm3hTPTmcYBk32NcHM6zOhtUj8c4JtVQwIgxz3Pysq4VQre5ffWw6bDTaSr0NVRYuKku1edzzdAa2FWrBaYyVo3x2XFsdVd35J/CII2JXdqNz//HX7L8kqZP7JanVV2lJGeo/E9ifbcf7teQz0Gih4X1VFpigq9rLl2TBbZYaCSwsKWlcfeH6A6xbgHewt+Fs2kMye5LzxUbq17wa/Ddzry5Zn4/Tr09jgtwHbnmzjruO3fm+xvwU2PdrEXWa3l1sfb2HSpUlcFTADhgv6SFl4eyEcdjpwiRcr76+E/zd/FFxSULDdrn6wGokZiVwAXqrST7Wadtb1Weh/RjnOgN9CXCow99ftvwTVmwefH4T2Im28iHwheOyGe8THsbDEMLyIfAG/MD9k5WSJAnYvo16KEiyKGxVHmY3K47iLpwv3/xHnRnCVvPc/3+f2kdxr5QWZs+XZgnUvLSuNm88u1e6U3ebYqtzEjESujXhKVorgu1fnY52RkpkC3zBfzL0xV/IEO7sscWlxCI4NFrWa5wcfGIaB+2N3PPv2TLCP5Z/E9XrjJegCoVrBzSdn5Lj3+R72B+xHoWWF8ODLA1wPuY76HvVFn0Evz15Y9WAVlyBibmAuerxORzthne86WKy2EMxu559UZROBTgWdEs25538ubHJajjwHM6/NxPu494J1UPXYPeTsEHj4e3DPJRUI8/D3wMr7K7n5xOqSdpIykrDw1kKcfXMWxiuMseTOEjjsdJDs2iBFtd2+tpY2/L/5Q7ZQJjqeaqrUDYgIgP5SfS5wtvTuUu42hmGw6M4i9PJUJkB+S/omSG6wXmct2EYA5b6Gn5TA7g/YeaqaTL86HX1P98XcG3Ox4t4K7vHKbSqHDkc6wGCpwQ91ClHnR4Nv7+Peawxo1dlVB+t814mOS/z1Rl37eVX8JBF236Hqzqc7qLm9ptqOEZqwiRR8/GrwXf674BfmB4NlBqJOK+pcfn8Z065ME71Hmlr/8939dBcdj3bEet/1otsYhkFovCK58FH4I3Q93jXX91JTR4KfYevjrVzyJfBzg7r/ZOtopyNOKLepHHeMyatGexph8pXJ+U7adbvohqb7mnKX89P+P0eeo3bMBRtg+tEOTJ2PdYbbRTfqJpAL+x32GOQ1SHDcvxZyDQUWF8C5t+e474D/BRMvTcSmR5sw69qs3O+cBwzDYOCZgZJB89/JpMuT8Pn7Z25UC8MwaLG/RZ6q7XPkOf/oGAFNCW5/wkiIb0nf/pMJEv9lFNQlhJD/cRXMKwiCg7+DRqUaoaRxSezpvEd0W9FCRfPcHqpTxU5Y2nIpLAwsUMqkVK7319HSEcyp/REfJ3zEncF3YKRnhEalGuHduHeY13QeSpuWxqMRj2BfzF7Q6lomk2FDuw3oVLETd13f6n1Rz7qeIPjKnjTj41fq8rEnagHF+wUANwfdRKBrIHS0dGBvZc/dPrjmYABAxwod4dnLEyMdRmJ0ndEYXHMwLA0tNc5x1tPWw9o2a7nLNqY22NVpl+A+/Dm/RrpGWN92PTx7esKlqvLk9aV+lzCt4TQc7HoQDUs1RMy0GIyvpwiU8QPH94cqAz3j645XO8d4VK38ZVFHTIngqpP9RypOgN/9fFfU5hgQv+f8luIsn74+6G/XX3Q9y7WWK2KmxagNWNtZ2qn9W7blN6D4nNUFyTVZ10bzj6KBNQZKJkF0rtgZnj09kThTmDFsa2ab72VgrX24Fg++PODm9Z0MOgnP154a/6Zs4bKY2XCmxvsAivVziqMiM1+qTd3VAVfRxKZJnpf1Ur9L6Fu9L7pVVlaxaMm01AZNn359yv2/3eF2ak9MXex3EVWLVM31+e0s7eD+2B2BkYFouq8pLNdYwrKQJQBFwIidF/z021NuHyB1IpXFDzIDELTjBoDZN2arndOclpWG1gdbcy1jVeWluo/FryQKjAzE4cDDf6vy/lvSN7Xz4RkwiEyJFASM/L/5C1r2zr81n/t/XirG+cF7tkoyr0b7jEbnY52Vy8c7ISBn5NjktwntD7eXbAnJrzDnn4TveryrqNV3jjyH28flpZ1uSlYKup/oLrhu2d1lcNjpgLNvFMclTScFNvhtELwmqYpIvvdx7wWfwaTLk5CRk4Eld5cI7meyQnk8kjqBHp4o3BZVExX4s2jVnRBnA+iAYhsAALvtdqKW64tvLxYEd0PjQ9FkXxPU310fhZYVwtm3Z6Hq9JvTgsuqrSL5f+PxzIN7jduebEOvk8LOH/wgTMM9DdH+cHvuckh8CPeep2alYujZoYLgI/vaZZBBzshhscqCq+w+/uo4CiwWBuG3P9kOx92OWHp3KRbfWYzbH29zLZMBIC5deRLcN8xXFITlv9ezrs/C2Atj4bDTAcvuLkNeqAaJAeDoi6NY+2At9gXsQ+O9jTH47GAAitbtHY92hF+4H1beX4kJFycI9sWAMtDN/67UaE8j9DzZUxBo5QfK+fuM1Q9WIzg2GD1O9kDvU70RkxqD5MxkzLsxT/AZssGvQV6DsPL+SjTa00gw337Loy3c/yOSI7AvYB9GnB+BspuU3w02+G5AXFoc6nvUR2/P3vjr1l+C16K6bTEMg2lXpsF4hTH+uv0XnI87AxDu1/gJDcmZyTj75qxg37PmwRqMuSCs0NeSaWHV/VUAFEk27HNl5WRx30+l2s+yleLrfMXfO9jHYUWlRKH4uuLoe1o5T509PrD7m2ffnuF1zGtumVj87eHKhyui5+Jj9zXL7i3DrOuzoL1IG3c/3eWeIy07DX1OSY8u6X6ie56qgVmX31+G0XIjnHh1Ao/CH2HG1Rm5zgpn/6785vLce86KSonC9ifbBUF31e1NENT9/31Ibie58xJwc/F0wfPI57kGBLJysuD+2J2rXB1xbgRGeo/U+DeFCij3mfyOFpq0O9wOax6uER3vcpMjz8Gws8MEoxT4qmytgtE+o1F2U1lceHcBjfY0gtcbL/i8k+h6wNtu0rLS4OHvwbXAz6/R3qMxyGuQ5G0RyREYd3Gc4Lrm+5sLLocnhqO3Z2/c+ngLrQ+2zncQFfj788+lsPvR/CYDsPvKPc/25DqCR1Pr67yeM0jOTEaN7TVgvsocb2PeioKvbHcPTcH9L9+/YOujrRqDO5ra6v8bNO0L/ML8MOvarJ8anMrIzsDcG3PzvT5+S1Z+P2L3OV2OdYH9Dnt4Bmn+nfgzJWUkaUws+yex20By1s9J4EjLTsPBwINq9zO/UmpWKpfQxh6L2eT69Ox03Px4M0/V9tbrrLnRH/8ETaMoAiIC8Dr69T/23EdeHEHPkz1/KDHkyocruPPpDoqvK44JFyf81JEH5TaVQz2Pej/t8cjPRUFdQggh/zpDXUN8nvQZQ+yH5H7n34yloaWgrbOtma3gxFNemBY0he9wXzQt3VRwvUtVFwyqofwiXki3EC71u4QP48XtaS72uwj3Du7cc8tkMu6LaAnjEihpXBLj6worDK0MrbCj0w5R5eBz1+cIdA3EW7e3+DzxM0bXVrSNLW1aGpMdJ+P6wOuYUG8CbM1suR+7/CrnLhW7AAAsDCxQSLcQulfpjn3O+wAogsrsLGWWuYE59yOc/zgNSjbg5hQyYNRWujYvrTzR4TvMVxDEVlXKpJSgisy+mD2cyjupDVgsaLoARrpG3OVihsVEweX2tu3VPmfPKj2xreM2mBuYqw108Ftoty3XVvD5dq7YGbMaKTJ238a8RcuywvY/Ozrm3jqZDfSzzvU+h+M9jsO0oCmMdI2w33k/SpmUEiVCTKo/Cd2rdIeRnpHgejtLO4x00HzCTpP5N+dzQdf07PRcTxh+GP8By1stx4KmyqCWattxQFEFP77eeLSzbYfe1XoLbrMxsUFh/cK41O8SNz+btd1pOx4MFc/IZNfTKhbKlphxaXH4lCDdBWDezXl48vUJfMN8BcEkqeXUNGeadfvTbUGVU2JGomQ784OBB/P8g49tdZ9fLp4uuBZyTe3t065O+6HHXee7Dv3P9M/3bLp+1fvhSv8rqGFZA0tbLOVOBAyzH4ZlLcSBI34Fz3rf9Xmeo3fz403RdWzLYkARnNS0v8kN22LbN8wXF99dxIRLE7gWzo1LNdb0pwJsxTPLbrsdF9SVeg25CYoO4pJcvN56AQBKmpTM09+mZ6fnGmQBIDhhzW+dqI7Udqe63qm2UG+yrwkcdjggPTtdbVCXfZ++Jn0VVAPz294DiiAZv6q7xYEWXHBBXctT1Yo6dQkhqkITQkVzwdsfbo+tj7biZdRLPAp/JLht4uWJ3HFtxf0V2BuwF71PKfeB7AlKmUyG/QH7c23ROvXqVO7/C24tQLP9zeDq44rd/rvxIe6DIOAZlhgmem/5l9nKCwBqgyqqxl4Yi1NBpwAoAkbewd7oe7ovpl6dKmo5v953PRc0W35vOTY92oSV91cK2nKzgS5+Je/9L/fhGeQpOL7z7fQXti2vuKUi9/8iq4ug7MayoiSEGddmYPnd5Tj8QtHhITIlElXdlQk8J4NOYtqVaehyrIvaE2KTLk+C+Spz+IX74fir42pnO7NCE0Kx5uEajffhB0hmX58N5+PO2BuwF0+/PkV8Wrzk/ltbps0dp0PiQ/Aq6hUOBR6C7hJdLnkoNjUWK+6tQOuDrXH+7XnMvDaT25cX0CoAtwtugsdUHU/BVkaefq1IftgfsJ+7bfLlyVhwcwEGeg3krlt4eyEXwOQnq7Q91FZ0Er7x3sbc3G0bE3HXhyb7ck/wysjOwOnXp+H+xB1vYt4gKSMJS+8shWyhDNEp0dj2eBuCooPQ62Qvbls//kqRTOHh74F6HvWw6sEqXP1wFUHRQZh8eTI6He0kOVqB7VahOvd85b2VGO0zGobLlcmhqgEvfvAkNSsVR14cgc5iHcEYiidfn2DipYncd11+YgYAUfIAoJwTLjXPm2/1g9UYe2Espl+drnjtzzxEc8dVg0aGuobKCuz/DyyefXOWO3YwDAMXTxdBMgkrv7Nln3x9gj0Be7DLf5fk7a9jXnNjSG6G3uT2j1KjHfgB+tSsVIw4P4JL7krOTJac8aqKDWZsf7pd9P03NSsV9z7fkwyIRiRHCKraXX1ccfzVcTTf3xzXQq5h5f2VSMpI4rbBHHkOXL1d85V09yNW318tGCHCym97anY92OW/K9eAgWpnAT5NAcrEjERuXzHIaxCX3FRpayUsuSPcn7PfDdQlZegu1kWpDaXgdtFNNHqDL6+jRPIrND5U0K7aJ9hHlMTnGeQJg2UG8AuTTpysv7s+Vtxfgbex4u5gP2qD7wYsvbuUS7zKK/62o7rtqe5PkjOTERQdBEDxutVVW+cmPDEcsoUybH+i7PhgutIUxiuMBfdZdHvRP1oNymKfQ1N1aH7kp7r/dfTrf63yNDMnEyXXl+QSN9l9Lvs9lp/YN+LcCLh4uiBbno2Q+BDR78XIlMhcR339HfzzQ58SPkFnkbLowmGng+TYDL65N+aizq46kr/TPyV8Qrfj3dSuv/1O94NnkGeejit8wbHBaHuoLdfBwP2JO3SX5G3UWl6ExIeIfoeQ3wcFdQkhhJDfxLEex7hgKKutbVvJis92tu0wuo70zE6ZTIbPkz5jY/uNeXpeO0s7VLesjgrmFVDSpCQ2t9+M0AmhqFxEMXuqRZkW2NBuA7RkWqhjrZinObvRbO7vt3TYgr1d9mK4w3DuuoI6BZEzP0eyGlvVfuf9ON1LcZLv7pC7GF17NJwrOWNQzUG4N0TZBrCEcQncGnQLLcq0gFN5J2xqtwn1StSD/yh/LpDZokwLJM1KQuTUSBzudhi3Bt0SPZ/q+8mfldygZANETFX+WLAwsMDrsa8R6KoM2slkMtQvUV/yfTzWQ9nSr6JFRdF9ShqXxDanbdzlc33OCZbHtKApF8AMSwyDrZktnCs5Q19HH3cG38HIWiPBLGDwcvRLBLoG4kLfC5hcf7LgOVSD0E4VnNCrai98mfQF4ZOVQYYRDsKqQ6n5z4AiQLCy9Ur0q94P5vrKdpb8auWJ9SaK/i5tThq0ZdpcleHuzrtFz6Et08aJHie4iu1mpZtJLg8/qMwmJRgUMEApk1K42O8ijnYXzh1kA7n6BfRxqOsh6Ovoc7eNqj0KjiUdBfff2VF5Qp9fPR6aEIpvyd/Q3rY9zricEb6+7DTU2VUHjruVj7W8pbAyCVDM/K1nnXuGq1SlgmqgARCf7FBHV1sX69uK2w5KqWxRGS3LKBMIzgef13h/9oS01HbAb2te0lh9YHBD2w2Y12Rersu2p/MeHOx6EK3LtUaAawBG1BrBnQgw0jUSBMyrF60u2fVAdbnY569kUSnX51fFJrH8iNNvTuN5xHM47nZEx6MdBbcVNyqOc73PYVStUblWdqu2gQ6KDtLYAjk3Vd2rcpWqH+I+4OGXh9wJ/tyottLOD02V5mwVLR8bsNb0/jyLeIZjL4+pPcH8+ftnZMuz0epAK8H1P3qSEFCenFY9iZPfCjNVbhfdUH1bddH110KuSbZdjk+Lh4unCxeYl0EGj2c/VlUGAMPPD4ftZmGnBg9/D1H71p/RJrTHyR64HnIdFqst0OmosmNFXlqeXg25KplYk5CeADkjF1Tba5qlrgm/Apf1Oua1aD1VTRhb83ANzr0998Mn+q+HXsf7uPf4mvQVG3035ilBhV/RznYjGHZuGGrvqi2aJc7S1tLmPsc3MW9QbVs1UdvaJXeXYNb1WbgWcg2dj3XGyvsrucSIAtoFBAkwqjb7bRa05f+U8EkQBNj8aDMW3VkkCEwCwLbH2xCfFo9uJ4RzYI1XGCNHnoPQ+FAERgbi3ud7XNvO9JzcK2WlfIhXJthV3loZdXbV4cYP7AvYhzEXxqCqe1WcDDrJzZZnjzf8xAlXH1fU2lkL633XwzvYG/1O9xNVxxUqoOg2obrtSCUcqiaH8GcNT7s6Df1O9wOgCFAyDIM2B9ugzq462Oi3EZffK5J1VPdvC28v5P4vZ+T48v0LChdUdDKSSiwIjg3mTq6zCSjBscGSQQGGYUQzIg0KGHD3fR75HGffnIXzcWe0PaRIpotKicKJVyfg6uMKQJiQoRrA589zZz379oz7DpWf1pP8pFzP1554FytMruEHlPn7IoZhUM29GoqvK453se+QnJkM/2/+iE2NFT1/9W3VBV0oXkW94v7f7Xg3NN7bGDdCpccmzL4+G2YrzXDv8z3Rif6I5AgYrzBGu0OKUUCBkYHY8XSH4Dspt7z/n+iWlp2GYy+PiT43hmFE172JeSM6kZ8jz8H0a9MFI0RYi+4s4hI3NIlOicbeZ3sFHVekxi2wrn64qjaIevfTXYy/NF7yNkDR/YN97/nHAUA4JgVQzoqXSoJKzUoVXK/a2YN/7P+ngrr1POph8pXJeBj2kGstzm77rJ4neyIzJ1P0WlVt9N3405aT/Z7zKeETfMN8BSNiNOH/5tHTEQZ1Vb/HOx1xQlX3qjjz+gw6Hu2ILsd+7Hs4+915jI+yU4Xq97Yux7pgwa0Fksk4Pxu7r8hrUPdb0jdUda/KjUiITY0V7Nv5x5O0rDTU86iHg8/FyXXbHm9DFfcqOPpS+Nt5/s35XPeN/IpNjRVtU6w6u+pwy8kwDPe62c+Zv4/3eObBjQwqt6kc5t3I/Xfiz8Sv1D/28phkUra6gH9WThaW3l2KJ1+fSM5JHnZuGM68OSNKKFHF7yikiZyRo+ORjljzQDrR72dW65LfFwV1CSGEECKgraWN0qalJW+zs7RD9LRozG2inLNZUKcgBtccLGpZoyXTylNbrIE1BqJrZcUJgipFqsDdyZ37os+2wwKAQNdANC3dFEUKFYF3X2+Mq6es/JrfRNF6cFO7TTDUNUTRQkXRt3pfydbjE+pNgL2VPda2WYs7g+9gSwdli8Ty5uVhUMCAC+wVNyoOK0MrVLesjt7VenMB1wYlG2Btm7Wwt7JH2KQwJMxIgN9wP8EJovol6uPmoJs44KzMzD/U7ZAgWMlmhtcuXhuAosq2W+Vu6FyxM067KALdx3scR8z0GEGFeNWiVVHdsjral2+PnlV7Clo689+z9W3Xc8tkqGsoqMKd1WgWAkYFYGK9iTDRMxF85jcG3sCcxnPQzrYdlrdcDtOCpjjU7RCipylPbPMDcstbLUfz0s25tskdK3REQZ2CgoB1f7v+mNFQeUI5YFQAvkz6gp5VeyJ8cjgCRgUIZk+71XXD/CbzETQmCG51lRVAHcsrgmH8dq58dwbfwarWypaGhXQLYX5TxfrBrwzf3H4ztGXaiJ4WjRG1lAFu50rOqFa0GnpW6Sl4H/kV4qrVmkUMiuDR8EeSAT+ZTAZ3J3cc634MRQyKCG4z0TPhWqT/HVLdApqVbgaXai55qgDV0dLhKsT5Al0D0bac4qTrpnab8GzUM8F6srLVSsH9l7VYhusDFQEfh2IO+DjxIza334w25dpAVRObJnAsIT75yKpSpAp8h/liiP0Q0X6E/dFtpGck+NE6wG4At3zlCgtbRy9stpCr/i9tWhoT6k/A67GvETk1UhDUZ3l08sC4uuMQNTVK0PLdqYIT6hSvI7ivl4sXTvc6jWPdj+FC3wuY03iO6sMBUFSo1d5VW3Ad2/LdRM8EnSp2wvaO23MdJ7D6wWrRdZoqWfKCrRS6+/kuGuxpIDqZu7vzbvgOU18BpNq6flUr5Ta4uPniv7VsqvpV76fx9iFnFV1Ampdujr1d9iJ6WjT8hvuhbbm2+JjwETOuzuBavP4MP5IcwFrXZh1CxoeIkkZ+hNkqM5x4dYILcCZlJuU5CSQ3Q2oq3tPQhFBMujyJu35fwD617dRVT3znptXBVqITYc8inqm5txJ7UrlrJWGgIT49Hn1O9RG0Mf0ZJ7LLm5X/24+RG7Yrx/PI5yi/uTxcPF0w8fJEOB2R7mDCd//LfQzyGoQPcR9gbWQtuE3deq+jpSNKsrA0tMz1uV5GK4KwqsFYVeMvjRdUCJfeWDrXxwYUgVazVdIJJs8jn6PsprKoub0md11CeoKoHbc6M6/NRMsDimSmwV6DBTOWAQiq2fgt51k58hzuuyq/evZr0ldRtd+K+yvQeG9jLoDABgtV99tSXSzYIP2OJzvQ/3R/vI97z93GVj0DisBIeFK4YPTCxfcXsclvk2QSyLgLiu/Qp4JOodSGUlyCDj+oyzAM/ML8UHFLRbhdcENmTiYXcNXW0pason0W8UyUBPEu7h2CYoK4y/xq86iUKMF7nZiRCNOVptxltoorLSsNc67PwanXpwSP7fXGCw47HVDNXfH9PD+zb/nfnQ48P4AKWypg2hXlesr/fPiJQlEpUdx30LNvz6LHiR6otbMWLFZboOdJ5XdHhmEQEh8ieM5q26rBco0l0rLSuA4Zqh0JWOt81yE+PR6Pwh+J3mt2W2aTndQFs9/GvMWLyBcAFIHMPqf6iLoojL84HlqLtLjXGJcWh8pbK6OeRz1BoJv/uT79+lTQatjrjZfkPHpVfU71wdBzQyWTgbyDvbHq/iouYeBl1Eu0OdRG0LKdJWfkaLKviej9VcWAwYhzI0SJDarriaZKY9WKWLbil8VPQghLDMPB5wex9M5SbnvPlmfjU8In3P10FwPODBBUYOcV+95n5mRyQb2rIVcx4+oMXH5/WbD8uVW3b3+6HfU9xEmZfKpB/mx5Nroc64Izr4XfVdjfsVnyLDjudkRdj7pIyUzBqaBTGitB+57uy31XUa3U1ZZpg2EY7v1ju7uwHRL4c9/ljBwX312UDLS9inol2DdzCSH/n+QgtXxfEhXjgnLrmvEzsAFDdcmo7PJNuTwFxsuNUXxdcQRFB6HJ3iYIjQ+FxWoLmK9SJlvzg6Nsl5eBXgORkJ6ARnsa4e4nRWIVm7DFT4ZLykjC4juLRQmngGLfy99+5Iwcl95fEgTEux7vChdPF0GCSnhiODb5bRI8z+I7i7nPkQ1mS43gYMd38MeaqI6NARSdi1oeaJnvFtqpWamC4222PBuHAw8LEshOBp2U/Fv+98iAiABuPzj7ujLJ7/bH26LtnE0qzG37z60dPSsmNQY+73zUdqV4GPYwT4+jyY/sq8i/i4K6hBBCCMkXCwOLPM8w+rscijlgR8cd+Djho8Z5yGPqjEHWvCxULZr77NJyZuXgP8ofkx0nc4HSkPEhiJmmbH/mN9wP3n28YWOqbON3tPtRvBj9grs82XEy/Ef5w9rYGiYFTQQBQ1az0s0woMYAweuR4tPXB4e7HUYTmyYoqFMQZ3ufRTtbRfa9rrauxpmV9UvUx+X+yvnATW2aYlL9SYqAbf2Jav9OW0sbNaxqYH279YiZHiOozGtepjmWtFiCi/0uolbxWtz1/M+drTQBFMHSG4NuYHmr5Xg0/BGOdVdULJc3V5z87lShE3S1ddGrqmJupAwy1LCqgWJGyvbANaxqCILOutq6WNh8ISoXqSx43tblWku+HjaAXMe6DneSgcW27eIH49zquiF7fjY3E5pVzKgYXox+gdWtlYGz8ublBct2oucJrGq1CtnzspE4MxHhk8NRx7qOZHU2oKhScanmIjphO9R+KPZ22Su4X/S0aFEQtFrRavgy6Qt6VOnBXcc/GflqjPIEk2UhSzSxaYIj3RRZ5gPslOsfAAytOVS0fHFpcWhZtiUm1FPO3b056CaqW1bHfuf9WNlqJcbUGYOaVjUFVULVi1bHX03/AqBo7z6r8Sw0tmmMe0Pu4VDXQ9CSacGtrhsu978sWL8KaBVAJYtKgupSfgvtK/2v4NWYV6hXQrrCmf0sOpTvwN2na6WumNpgKrceqCam2JjaoFYxxbrconQL7vqihYpKthruUqkLNrXfhCKFimBkLWWleCWLSjjf57wgWN6lUhd0rdwVLtVc0L58e8H7uKPjDnSs0BF9qilmOPJPvI5wGMF1GeBXKvDfq7BJYTjS7Qg2thN3XuCvJ1I/3q/0z70tcl4NtR+KeiXq4fXY1yhhLJxn5VjCEU9GPuGCt63KthIkYjQq1Qh1resCUCTKbHfajh9lY2KT53ac9lb2GFxzMCwMLFDXui7Km5VHZk6m5PzPeU3m4XSv04idrnku3H7n/SigVQD+I/25IGKXil1gqGuo8e/UGV1nNMoULgPnSs6C/bgUfseBH6HaxUFdJf3aNmtF1+3uvFsUuAcUAXQ2sKSp3bvUficvpIJR6vzV7C9BkkxARIDaypG/o4ZVjVzvU6WI5hZ9uelQvoPgMv8kdm5mXZ+FA88PwHazrWhOqGqLcNanhE/ccZKlehyVwlbH/lP2BuxVe1utnYr9Ob/dfuGVhfEi6oW6PxFYeX8lboTegHewN/Y/36+xXbrUSVadxTrcydS8nIS9/+U+bDbYwGKVBTdXlg1snX59WtEW9Kli38geLwAgKlURbHf1ccXhF4dFbcBZ8Wnxonl/Wx9vxYRLEyQ7EWx5vAXewd6idSsmNQYxqTEIjAxEyfUlUX+3Ivizy38XLNdY4swbRVDn/uf7MFoubmdea2ctyRbO3sHegudg3fp4SxDUVG3Pn5SRhND4UBgsM8Cye8pxC5+/f8bXpK9c1Wh8ejxuht4UBNh+BD/gzD/W8Ft+tjmkPPZOuzqNC84CiuAmwzDwDPKE1iLp061RKVGCtvb8+aJSEtITREFQ1e2VHxjhf9estLWSaN1mgxIMwyAhPQFbHiuSW78mfUVARIAgUFRhSwXuxD6/C0DtXbVRfrMwwUX1dTAMg8fhj/Hs2zPY77DH5++f1XYbSM9OR6ejnTDj2gxU3FIRtpttJTtVsBbeWii6ruvxrpKtWaU6VqgGgfif9RifMYLXOuzcMMF9PyZ8xNk3ZzHwzEDIGblg5ndIfAgGeg3E3JtzcfbNWQTHBmP61ekovbE0muxrgkOBhwSJF+rU3VUX9T3qY4PvBlwPUXbH2PF0h6BDxKoHq9DucDusfbCW+10g9R6otmT+lvwNVz5ckQyuZ2RnoOaOmph0SZnA9TbmLc69PYduJ7rBdIUpN1ua/R7PD/70P9MfPU72gNYiLRx7qfg9mC3PFu0Xmu1rBkCczCJn5NjguwHai7QFQULVxKPH4Y/R/3R/dDjSQdDun2EYJGcmo9q2atw6xDCMaMwG//EyczKRnJnM7T/YIPHziOeirityRo79Afvz3XJcFVepy0uKj0+LR3p2OuLS4qC9SBsdj3TEOt91gu2bAYOym8Rd3L5nCJMLWEdfHMX9L/e5LihstwV+9y1+smhMagxufbyF1KxUfEv6hg5HOsB8lTmy5dkISwzDYK/BaH+4PXY9VQYT2UTQIWeHYOa1mRh2dhgGnx2MCZeUv4cAxYgPFpv8JLUOskkzFc2Vv6v5SUzsOtPmUBvcCL0B4xXGSM5MRo48h9u2NSUVFFpWCHV31eXWSVdvV/Q/01/wG+3pN+kEsfdx7xGbGgv3x+6w32HPdbThJ5s7H3fGaB9lR73MnExu++R/Z0nPTof1OmtBtW1ofCj+uvUXvnz/InjesMQwQSJNbsc6th2zqoCIAG79uBF6A7V31sbyu8sl3y+pimPye6GgLiGEEEJ+ayNrjRQEV6XIZDK1ma55UaZwGZgbKH/clDAuAacKuVfE5NXJniexqtUq7sR/23Jt0a2yMhuUrSz+UZaFLDGj4QxcH3gd2lraWNd2XZ5OPLPy8951KN8BIx1GClqn8dWxrsPdxgYR2B9ftma2ONv7LB4O+/HsUbblL79VMwA8GfEEb8a+kQyuj60zFgW0CkgGK9SxMbXBrk674NHJA1oyLe7HmJWhFWzNbDGt4TRoa2nDSM+IO6mhJdPCwBoDUbhgYSxqtggHuwqrIYoUUlTqsifL2c/c1kzxgzBuehwsDCxEwZ0Xo1+ghHEJLogkgwzPRj3jWmCXNi2Nb1O+4a3bW0RMjcDtwbe59Xm4w3BBe2o2uMbHnvBlg4RLmi/h3l9LQ0tMbzidO+nAtnT26euDwvqFudfCDzg1LNWQa9/OWtlqJYx0jfBg6APETI+BfgF9wYld9nHa2bZTG7hnne9zHtudtqN+ifroUL4DXox+Ac9enpDJZFzmeJFCRRAxRXliy8bEBvObzsex7sewsrWwwphf6c7iB/urFqmKOsXrYHP7zTDUNYSloSValW0l+hsWPyg7stZInO9zHhvabRC898FuwdjZaSeXsMGv7GLb/DUq1QjWxtboU72PoDqQrUJ27+Aueu6pjor5qAGjAnJ9H/nYCobcVLKohC+TlCcaFjdfjBuDbsBM3wxzm8zFxwkf4dnTU9AxwETPBHcG30HyrGSETw7HqNrKymd1iS6AuCIeUOxTcsvIP9ztME73Oo3pDacLrpcaZcBa1HwRulbuCjN9My4hguXl4sX9v79df2TOy4R9MUW3hzG1x2BOkzk42VM6o5/FbuOs4kbF4T/SX7C/4ifKSGE7OvC1t20vuP3xiMfoWEFYaVHXui7WtF6Du0PuCq7/NPETulTsIuig0KJMCzS1EZ4I8ujkAZlMhpuDbkq2XGd9GP9B0OGANaTmEK7qs1GpRmAWMHg26hm+ThYHwviJK4CwekrT5wco3uOypsJxBlJVtdWLVsdbt7e4MfAGuldWVH5McZwimFnPjoSQUq5wObwZ+waRU6Vb5M1vMh8+fX1ELd81Ue2oYKRrhN2dd+f579VRbWuqbl6kVKXMubfnJO4plN/56JpUMK+g8XbV7gs/y6Lbi374b9kTwPygjiZhiWGITYvlggQ5TA6+Jn0VVSC5O7njxsAbMC1oihOvTggCourMvjFbEGxUh5980eloJ1G72fdx71FxS0XU2F5DFAzkBzek1hlWXQ/FsW5rh62SySr8wN7uZ7sF1beqLWVbHWwlGcB4/PWxKKjY4kCLXFvP8q24v0Lj7Z5Bntz/+YF7qXbvfAO9BgoqdqVceH+B+39u1aaL7ywWbcv8faNqy+sboTdw9MVRzL85X/LxTgadxMMvDzH96nRYr1NW85ffXB7Dzw0X3b/+7vpIzEgUJS9IrQPZ8myug8omv02o61EXDjsdEBARgCV3logSKVn6S4VJS7m9J4vuiLdbrzde2PJoC5Izk7mZz+rEpMYgKycLT78+hYunC+bdVHYf2vZkG8pvLo/JlycjPi1eNHIgLDEMzsedcTDwIBrvbcwFLgHgyEvl9wcXTxdU3FJR1Mr+6denqLilIjoe6agICqfGwi/Mj3vNckaOx18fwy/cD5MuT0Krg8rvm/znUl0mtvJRqn3r/uf7Rde1PdSW62zCd/TlUQRGBgo6FPDXt+8Z37nZ0uxnzbb6ByCYudznVB8ERgbC1dtV1HWBrYZNzBQGjr5nfMfkK4rRQmw3BUBYIX3i1QnU9ajLtRDe4LuBq6je5LeJSzhhEw38wv0EQbfbH2/Daq0Vd7nF/hYwWm7EVVPmMDmISI5AzR010WB3A+TIFfvqJ1+foJ5HPQw+O1gQ7I9JjREF2W6G3oTdNjvJVs5hiWH4EKdo+c8GkOWMHBarLdBgdwNU3FIRDBhRYpaUFvtboP3h9oIgHr/ilO2kIZPJBIG7pMwkXPlwBXNvzMXiO8qOOq0Ptkbz/c1hvsocxdcV5/ap2x5vQ8n1JblKf/5nzn6X/fz9M1beX4k9AXu4ymB12EQKTd/pE9IT8OX7F1EC2aPwR+h4pKNgvTzy4gimXpkK4xXG6HWyF0xWmEh2MNj7TJEs9jzyOcxWmcFhhwN2P8v7961vyd/Q51QfjL2gGN/FBqVVg//sce1m6E3oLdHjEpb4Fc6vo1/ja9JXQSeTqVenYuHthRh3cRzWPliLZvuaofja4ii5viSs1lqBYRg4HXFCk31Ncl1Wdt26EXoD+kv18SLyBex32KPkekVSZ8sDLfH021PMvjFbct/CTxR4FP4InxI+4a9bfwm6ZC29sxR22+zyNfqA/Dw/fvaTEEIIIYTkieqJ6kv9pedD/SiZTIYVrTSfnPpZfPoqfmDmZVaLka7iRzU/C7dzxc4/9LzuHdxhqGsIXW1dxEyLEVUvF9YvrLaau16Jesicl/+Tz/w50QAQOTUy12q5PZ33qG09frHfRex6ugvzms5DeGI4V9nrO8wXsWmxgmrN6GnReBz+WFDN3Ld6X9SzrgcrQysU0i2E/c774dHJA3o6erAytIKVoZXoOWUyGXpX6436JerjUOAhuFRz4ebWvR/3HgO9BnIVlh3Kd8DL0S81VplNrD8RE+pN4F4f+znkNtN1uMNwDLMfJnhfGpVqBEBRBVjKpBQOPD+AYfbD1D0Ex6GYgyAYyLZFB8AFdaoXrQ5LQ0uMqT0GgVGBqGlVE9pa2nCp5iJ6PNUKQ9XqZj0dPTwaIWxHLJU8wNLW0sYB5wNcpTqgSNzY3H4z6nkoKovZalc2+Mk/McEGg9iAEyCs8H3u+hwZORkw0zfD+3HvuSzx3tV6Y2XrlZhYfyKsjRUnag11Dbnt7/2490jOTIaxnjGSMpNw99NduF10w8pWKzHcYTgcdzvmu2UuvxU/AMkEHJOCJtDT0YMelOv37s67kS3Phl+YH/y/+WNrh61IykjCzOuKFu4ZczO4QP/N0JuoYF4BEy9PxKJmi7iKgsIFC0u2yFOXIMP/PFjLWiwTVXX3qd4HZQuXRf3d9VGtaDV0qdQFvsN8EZ8eL6iQL1O4DLY6KeaI8tehO4PvICwxjGsZOdx+OKJSowRtUze12wT7YsKgNbv9VjSviOsDr8Nuux3i0uLg5eKFk0EnsbzlcpTaoGjN3bVSVzQq1Qijao2C4XJFspBbHTfULl4b5/ucx9EXR7nnz5ZnY0qDKaIsfJlMBq/eXgAUAWF9HX00Ld0UhrqG+DD+A8ptUgTRBtYYCEDx2R7qekg0ZxdQJBbpF9DH8R7HcRzHBRVqCekJ+KvZX/iS+AVrWiuqEdjZ6KwiBkXQvXJ3tC7XWhBIYR3tfhQNSzaE+2N3LhCzq9MuHHt5DNdDr+P+0PswKGCAUbVH4ezbs9jaYSvsi9mDYRgUXCrcVl9EvUAF8wqoYF4Bzcs0596X7U8UVZJm+mboWrkrmAUMuhzrgvi0eNz/cp87EWemb6a2KwOgGI9Q2rQ0Mudl4mPCR4y/OD7XOeVlC5cVzJwtpFsIQ+2Hol/1ftBfqi+o7FB1sOtBfEr4hG6Vu6GKu2Lfvb7teky9MlVyHtzv4ELfCxhzYYyg80Mxw2IIjg1G89LNuZayfLMazcLw8+KAU16VNC7Jtdbke/xVOAPSztJOMmi3t8teLgByvMdxuD92F803r2RRKU9zj/n47aNZpgVN0bxMc+4kMX/ONKAYAaLaWl11NqQ6var2wkY/ZeeH55HPBbfnFkzLDwsDC7Qp1wY9qvSQ3K4B4MoHRUeJooWKIiolKl+VQfzjprGeMRIzEiWDV2Nqj4H7E3ESlDrN9zfHpnabBLOH89oSE4CgClcdfuBL9TPIr1fRrwTvW/vD7TXcWxGUbrCngeRtUtVpAREB6HGih6hSUkqXY13w9OtTePX2wsTLEwW3JaQniDpG/GxL7y7FhXcXcm3dz4BBeFK4aCQGKy07Det916OyRWXRbfwA+4MvDwTbIr8qXmo+L6CYT54tz0ZwbDDCE8NRYUsFLuFGNaksr+LT47nn+5b0Dc++PUMNqxrYH7AfQ88NRcOS0q2xr4dcx7vYd9j5dCemNpiKD/EfuP2cDDJMvjwZtYvX5mZuq9KU3MFyu+AmOL7xJaQniIJ6qsExFr8jjYun8Lt8Rk4Giq4pipM9T4rWO0Cc0NRsfzPBZbb9PCstK41rW/465jV0FotDJxffXQSgCChPujwJZUzL4PrA6/B554PmpZvD45kHXkS9QL/T/ZCRnYGvSV9RpnAZFNAqgF6evbjHSc1W7Me6n+gOOSPP09gJPqnjJR+779OWaXNVuoCiOpcfzGVx8+lV3jPV+dX8ttl6OnqASqdeNkCuDvvbhL8O9a3eF8dfHue+u0SmRHLfe/l6nuwpqkgf5a1MGGVbJz+PeM51HGMYBp+/f8bQc8LOMfl9v6NSokTfEaq5VxO1ZWd/L6gGjPnfxaWOV2yyXFhiGHb67xT9Lrseeh0X3l0Q/Z2UDkc6oE+1Plj7cC3Ss9O53/9S+p7ui0alGnHdq558fYKHX5TbXD2PetxxeuHthTjgfAADagzA3JuK34Ef4j5o/G5M/hkU1CWEEEIIIflWQLsABtUYxAXmpMxqNAt3P9/Fpvab/vbzja6jbGPEr6r+N7GtcjVRnS3NZ2tmy1WJ8n/4mBuYi16ThYEF2pcXn5grZ6asVtKSaQkCwZqUNi3NBeAu9buE7xnfUc6sHO4PFZ7IyEsLc35gdkStEfAL9xMF93L7O0AR2GQWKH/cps5OFVR4/ojVbVajokVFrv0vG3TLbbl2ddrFVR4c6Hogl79QViarq8bjt11n1S5eG4ubL0ahAoW418nOWeavN2varEGjUo0wwkE567mxTWNYGVphTes1KKRbCIWgqOosZ1YOHyd8BAMGNiY2kMlkXEAXAJ6NeoarH66iVdlWgnUHUAS+qxatiqY2TQUZ/GvbrEXrsq1hqGuIspvKYmmLpaLXMq3BNLVVfywTPRN8z/gueRJ3qL3ipEp/u/5oVroZ+tn1Q2RyJBfU5bd+bV5GMROVrYZtWLIh9gbsxcJmC9HYpjGmX52Oo92PKiocSkqfqAYUHRKG2Q9D4YKFuRabsxqLZ0kDikSQw90Oo2WZltxlTfjzRxvbNEZmTiaGhAyBrZktxtUdJ6gacqnqgu5VxLPBypmVw9UBV2FnaYeihYoicmoksuXZKKhTEF0qKeZ1z2syD4a6hoIqZDaYwU/q6FO9DyJTIjHp8iTueplMhkv9LqHd4Xai9r6qiUdlC5dFt8rd8OzbM0HCRjmzcjjd6zRcfVzRo3IPjKkzBr5hvtz7LpXMoq2ljVImpUSdC/gu97/MBWFrWNYQBDnM9c259uzLWi7DivsrYGdph+EOw9G9cneEJoRySR5FCxXFk5HCFsM1rWoKqjxWtBQmQLHLzCZO8DtXsFXaS+4swfxbiqq31mWlK+C7Ve6GKx+uwLmSM3ddadPSONfnHGQLxe/Lud7n0PmYIsnpr2Z/weuNF1cVwS6Dno4e+lbvi8MvDqNQgUK4MegGboTewMLbC7ntz8bEhuvawBpVaxScyjuhwhZF9Wv6nHR4+HvA7aKb4H6mBU0FJ9BblmmJPtX6SAZP61rXRd9qfSVPmAOKStvg2GC0s22HS+81J65ZG1tjVK1RgnaYbIcPa2NrJM1KQmxqrGD2bhObJtjaYStXHaOqZZmWooo6c31zTHGcgiY2TaAl01IbyGIVLlgYj0c8hmeQJzz8PXDv8z1MbzgdA+wGoKJFRS7Y0ax0M1gWshQFBrZ22CqoLJOSMTcDx18ex42PN7AvYJ9o/mxeGOsZc//f7rRd44laVaqt4n/W3G0Aos+H3ffXs64nGdTd77wfg7wGAVAkqhx9eVQyqFu7eG21rcMB4N6Qe6hrXRcGywwkg0yNSjXCqtaruASY3Nz6eAuL7iyCnJFjRsMZWHl/Za4tklWtbLUSM67NyP2OEqyNrDW2A1fluNsRbnXcNN5HBhkqWVT64XnyeWkZDIALNjjudoQMMkFCytvYt9yx3bOnJ3qc7CH5GLnRtB8A8h6kycu6P+XKFNF1UuuYmb4ZjHSNBNWg6vCT9LzeeAm+S0nND9ZkbJ2x2Pp4q2D+5+Ovj+Gw0wFDaw7Fvuf7AIiDlqzEjER0ONIB7+PeY83DNYIgNgOGqzLe1E78Oy4yOTJPSRjqArqAomW+quOvjuf6mIDidxK/4w8AyQr5HHmOYLZuXiSkJ+Rakf894zs2+23GpMuKNtWhCaGSXQUAiAKJfCmZKQiJDxEkeqhTtnDZPCfe1C9RH75hvtxlHS0druU1oL5zR17xj12aEl3VeR/3Hm4X3ATH7WY2zfAp4RO3vvLbDfNJtRiXcj30OhfUPR98Hl2Odcn3cqqKSokS/dZXDegCit/ockYuSnrOkmdh3o15sDWzFSRYqQqODZYcv6U6E12TKx+ucIlTgHCf9+ybeD856/ostCjTAu/j3mP5veWi2/mJPQO9BgoSz1/HvKag7i8gYzQ1Gv+NlChRAmFhYbnfkRBCCCGEEELyadndZdDX0cckx0m53nfn050Y5T0KBgUMkDI7bzNepcSmxmLi5YlY22ZtnpIG/kn+3/wx/+Z8HOl+RBA0+FFfk74iKDpIY6tqvqycLOgu0UWtYrVEgTk+hmEQEBGAmlY1BUHE+LR46BfQz9PJpcvvL0NPR0/Uxv3vWPdwHRqXaow61nVEt8WlxWHk+ZEoW7gsFjVf9EMnwNTx/+aPg88PYnWb1YKAZGZOJpbeWYoxdcYIgs7/Budjzjj79ixGOIzAwmYLBSd++HQX6yJLnoW3bm+59ruHAw+j/xllkJJftQ0o2hwaFDDQOGueLzwxHEvuLMHqNqs1zj4+9vIY+pzqg1ZlW+HqAGEAg2EYfE36Ch0tHcF7yQ/WZs/LRrY8WzLRJi4tTjCnElC0298XsA+ZOZmY0WgGGIbhKpz5yS7Tr07H6geKZU+apQwmsM/9ftx7LmGDvY5ZwHCPV7ZwWXwYr2jz6OHvwSWvsI/Hfw3D7YdjV+ddiE6JRtE1wv0Rs4BBWGIY17ZvUI1BgiqTI92OwLGkI4obFcfl95fR/UR3QaWanaUdMrIz8Db2LaKnRWNfwD6u5eDi5ovhG+YLn3c+6Fe9Hw51OwSGYVB/d33Us64H19quqFKkCi69vyRZhdihfAeY6ZvhUOAhNCrVCNcGXMPBwIOoWqQqHEs6AlDMgG20V30SGqAIhm/vqH7mN/teZc7NRLY8GwbLFOtgadPSKGlcErcH34bWIi0UMSiCLhW7wOOZB3z6+qCiuWJG6MR6E7G+nSJI8irqFaptqyb5POznzz5ff7v+6FShE1eddsD5AAZ6DcT6tusxsf5EwWe4vOVyQbB8QdMFWHh7IYoWKgrnis4w0zfLte0wn3cfb3Q8Kmzpbmtmi7DEMFFQ4MbAG2hxQDmz/tHwR6hjXQfBscGo5l5NsD5MdZyKBc0WcG1S17VZB5dqLlw74FG1RmHH0x3c+7H87nJ8SfyCbU+2iZYxbU4aCuoUhO0mW3yI/yC6/eGwh6hfoj5Ovz7NtbrW1dZFZk4m/Ef6w2Gn9BiAwgUL41L/S6jnUQ9lTMsI2o3amNigsU1jRdVriQbcPGSW33A/rjNHfkn9rUtVF2jJtLh2s6zFzRcLWgef7HkSs6/PFlTkAYrA9t0hdwXrinMlZ1wLuSY501KKU3knVLKohLUP8zbKpG25tkjLThPNSa5sURlBY4PwMeEjuh7vmu/Z3Ff6X8GegD2idqGlTEpx84J/FL/7CYv/2at7jipFqsBYzxi+Yb4wKGAACwMLyfupJhnlZmfHnRjpPVJw3aT6k7hg6/q267mgYm5sTGxQSLeQaB7z39GhfIc8VQ1+nfwVxdcV/2nPCyhGxvADVuosarYIxnrGahOS1HGu5JynQGt+6OvoIy077Yf/vkWZFoI5w5oEjQnCocBDglnkmlQpUiVf60aPKj24ZMtS60tJdsLIr4NdD+JG6A3sDdj7tx+LtaX9FoytOxajvUeL9tP5oaOlg2x5NgbWGIiboTd/+PXmN2nnTzGn8RwsabHkVy/G/yRN8VCaqUsIIYQQQgj5z5vdeHaeArp8+ZmbKcXcwBwHux785QFdQNHW2ruv908J6AKKubF5DegCiur/b1O+4fbg2xrvJ5PJYF/MXlQVWli/cJ6DpW1t2/7UgC4ATHacLBnQBRRVPJ69PLGq9aqfGtAFFJ/b+nbrRbPRdbV1sbD5wn89oAsAZ1zOIHNuJnZ22qk2oAsAr8a8wjanbYJ5qn2r98XxHsexvOVyLGi6QBDQBRTVOXkN6AKKys9tHbdpDOgCiqDJdqftONHjhOg2tgJe9b1kK2S/TfkGbS1ttZ0TzPTNsKrVKgCK6pldnXahsH5hTHKchBmNZnDPcbLnSdEsXbYdvmrgxbKQYln4y/Tc9TkeDX/EPV7ElAj4j/Tnbue3Gn/uqqiGfjXmFa4NuIatHbZiXdt1ABQzyW8NuoWAUQFoW64tN0u9hHEJHHA+gI8TPmJHxx2Imx6H5qUVlfTOlZxR2rQ0dLV10aliJ7g7KVo+1iqmqJLxcvHCg2EP4D/SHxYGFly1+DanbZjbZC4qWVQCoJydLJPJ4DfcD5vab+LeA7bNOb+V6Lwm83DA+QD3/lgWsoSejp6ipfz/B3QB5cxe/lxoc31FoN2tjhvWt12PDe02QJM3Y9/gQt8LKKBdAPoF9FHBvAJszWwR7BaMKwOuQCaT4cukL3jr9hbbOm5D1NQodCjfAeXMyiF5VjL3/gKKrhjhk8MxpOYQPBz2UPL52FncC5stRK+qvbjPvL9df4SMD8GEehMAAJ0qdEKLMi2QOjsVg2sOFjyGcyVnvHV7i08TP2FHpx2SLWHV7QuNdI3gVMEJh7oeQrPSzbj3TldbF9HTorljxXD74fg44aOoSocdiVHBvAKSZiUJkhVUkyyKFCqC4kbKoI9TeScAynEIsxrPgruTO9rZtkOrsq2QMjsFhQoUQsOSDbl9qrp24+w61a1yNwS6BuLVmFf4NPETvk7+ippWNTG2jnTVZ5UiVbj1JjQhFDpaOtjmtA1aMi349PXBwa4H8dz1ObZ1VAaaHUs4wtbMVtRiHlB0x5DqfMFqUUYREK9apKpoLMSBrge4sQ2s1a1XC2aiA4qgYfA4ZbtOdjvrU62P6PlcqrpgV6dd3HolpaBOQcxqpEgScKvrJmjD6z/SHwkzErCx3UZUNK+IAXYDBPPBixkVk3xsdhRBadPSmN9EOfeX3c/wqatA3tdln6gzx9neZ+E/0l/QFlYdayNF8oBTeSd8m6Kswi5buKxgPQSAQ90OYW5jRTca9w7iNt7dKnfDAecDXJVrAa0CuDXoFkbXHi267+Aag3NdNtbtwbcx3GE4ihsVF7yva9qs4f5vb2Uv9aeS0rLT8HTkU0xrME1026JmwhnFPauonwnNH0OjKaAb7KZcD4sZFeM+l+kNpufrO++sRrO49bxByQboV10xd1vTLFa++bfmcwFdl6riESzq/IyALn87nt1oNlLnpCJxZiLKm4nHgeTF6tar83S/8XXHo3KRypJdZtQ9Bn+s0sAaA9W27GZFpURh66Ot8A72RmxaLCwLWaKpTVONHbxyo6+jL/g++COG1ByCR8Mfcft1t4tuWP9wvSApR3UbV7Wl/Rbu/+y2MarWKOjr6EtW6ubHvxHQ3dvl5wXF82rLoy1Iy/rxhAXyY6hSlxBCCCGEEELyYcujLRh3cRwsDCwQPS3/7TMJIX8+OSMHwzB5PsHHMIxki2pNsnKy0ONkD7Qs0xLj6yln2kUkR+DL9y9qEwmkRKVEwXKNJfrb9dfYDjs/kjOTkZ6dDgsDC8nbs3Ky8Pn7Z1H7d0D4fmRkZ2DPsz0Y5jBMFMjnuxl6Ew7FHHD/y32ExodibN3/P3F7wQ1bH2/VWC2SI89BYkYiWh1shQVNF8DayBojzo/A7s67RTOu8yJbng0tmZZg1vaPCooOwsuol3Ao5sAFc78lfUNgZCDa2rYFoOhGkJKVIgruqbr3+R4W3l6IayHXEDMtRjDe4ciLI+h3uh83b11PWw83Bt1Awz2KE/hfJn3BpfeXoKutiwYlG3DLAiiPey5VXXCsxzEERQdhwqUJONLtCIoUUowS2OC7AcvvLUdUShSSZiWJkinexLxBVk4WqltWBwAsv7scs2/Mxuuxr1HJohLm35yPxXcWI3FmIhLSE2BlaCVqX8lKyUyBjpYOl0zR6kArxbzBvhfQvnx7dDveDWfenIF8vjzX7W6w12Dsf74fjiUcudmdIxxGYGennVx167i647Cp/SbIGbnoM2fvEzAqAHaWdpDJZNx1RrpGSMpM4iqKN/huQExqDHpU6QH7HYr1zsvFC21t2yIxIxFFCxXFvc/3cO/zPa7qmlnAYKPvRky8PBGlTEqhSpEqONb9GEwKmgiqb79N+QYrQyvuus8TPyMpMwmVLSpDJpOh4JKCyMjJQIfyHeDdx5t7Xy6+u4gORxQB4BejX2C3/25s8NvAdc6ISI6AlaEV3sW+Q7P9zdC9cne1o1UuvLuAqx+uYnrD6RjpPRLewd7oVKETfN75QM7IcaTbEfSprggyp2enY8CZARhdezRalGkheC0tyrTA9YGK1qzPI57D/bE7ypuXxxTHKdxym64wxfeM7zjX+xw6VVTMnpYzcgw8MxCHXxxG9aLVMbPRTEV77gIGsF5nDYMCBvgw/gOCooPQvHRzyGQydDzSEQ/DHiJ2eizCEsOQI8/htoMh9kOQI89BXFocihQqgmffnqGgTkFUca8Ch2IOeDpSMYfYN8wXjrsdBa/vWsg1BMcGc+2i42fEw3G3IybUm4B2tu0w7NwwtZWXbBIEwzCIT4/nuj0wCxgYLzdGUmYS4qbHYd3DdVhyV7HPq2heEW9j36JX1V448UqcoMQsYAQV69WLVsf2jtvhWMKR6xQBAE1tmuL2p9sYWGMgDjxXjiQx0zfDshbLkJ6drrHytaRxSbwc8xImK0y45w2MDMTDLw8xstZIRCRHcJW7cxvPxZ3Pd0QV3YBiDmzY5DBYGVrh6oercCjmgIvvL2LAmQEY6TAS7cu3R9fjXQEoArYDawyE0xEntcs1rcE0rH6gDGqOrzsekSmRqGBeAV0rdRVV7TuVd4LPOx8Awu4BqqoXrY4XUS+4y/Ez4jHx0kS4VHXhtqvnrs9hZ2kHAHgX+w5OR5xEFfVsFwZ10uak4WboTe4xVY2tMxZdKnZB63KKMRHf07+j5YGWmNFwBjfH99HwR6jrUReAsg167eK18SHuA+LT47n71LGug6b7moo+l4fDHmLa1Wm49/me4PpJ9SdhXdt1CE8MR4n1Jbj9nhT3Du4Yf2k8JtabiE4VO+GvW3/h5seb+DblGy69v8SNOlDVrXI3nH59GgDQ3rY9ahWrhRmNZnAdHzx7eqJLpS7Q0dLhjldS+NXuAHB94HVs8tuEs2/PAhCOx8iZnwOfYB+0L98eVd2rIiQ+RNBCPS8MChgIZsDzqXaBABTJGmwbeT1tvVznE7Nip8fCSNcIzyOfo84u4XfD0qal8THho+TfSXUQKGlcEg1LNRR1RFBV2aIyBtYYiFnXZ2GA3QBs6bDlpyUHEwVN8VAK6hJCCCGEEEJIPmzw3YBJlyehmGExfJ3y9VcvDiGE5ElMagyM9Yw1Bk7/RCmZKdj2ZBvG1R2X51nz/8uy5dlIyUyBSUETwfUMw+DBlwews7SDh78Hmtg0gUMxB4w8PxJ1rOtgZK2Rah5RERR3f+yOwTUHw0jPSONzf0//Lggmq8MwDBLSE7iq3r8jLDEMD788RI8qPbg58TlMjqiLgZSsnCwkpCfAWM8YbQ+1xZuYN9jvvB9tbdvCYYcDnkU8Q/a8bLUJHOMujMOWx1sQPyOemyV89s1ZhCaEolvlbsjMyRQEyNnn1F2iCxlkkC+QSz7uy6iXSM1KRV3rukjKSMKJVyfQz66foOOD1xsvdD3eFY4lHHFnyB3oaOlg8e3FeB75HJ69hLOMh54dir0Be3F1wFVRJ419Aftw5cMVHO52GCvurcDsG7PhXMkZZ1zOCO4nZxTLmpdkhl1Pd2Gk90gc7nYYrcq2gr6OvsZ15+Srk/iY8BFVilRBq7Ktct2W49Pi8SXxCxcsY2VkZ+BQ4CH0t+sveIynX5+iuFFxjR0k8sr/mz8qW1SGfgFl5WpiRqJkQONU0CmUNy8vWk4AOPHqBNdanbXfeT8G1hAG91bcW4EmNk3QoGQDhMSH4H3ce7Qp1waAMqlgv/N+FC5YGB3Kd8Ds67NR0qQkulXuBut11rAsZImIqRHwCfbhWqrzq+fr7qqLx18fY1WrVWhVthVm35iNQ10PweuNF2pY1UDt4rW5RJzAyEDU2F4D2jJtxE6PxY3QG7j0/hJ2+u/Ewa4H0ax0M1gbWWPcxXFoatMUPauKK3/54wI6H+2M88HnBbdvbLcRfar14RJGWAzD4Nzbc2hZtiUMdQ0RFB2ELse6wLuPNypaVBQkBrQt1xbzmszDIK9B+BD/ARFTIlB+c3kkZSahR5UeON7juGA91lqohZZlW+JD3AeEJoTiVK9T2BuwF97B3ggZH4J+p/thWctlaGrTlAuCWxhYYFO7Tdw85KmOU7G6jTJwPO/GPGx5vAWRUyNFx10Pfw/EpcUhIzsDjUo1QvMyzXH69WlUtqiMkd4jce/zPdwZfAezb8xGbGosgsYGIVuejX0B+5CYkYg5N+agddnW6Fa5G2zNbDVWyRZYXADZ8mxkzctCgcUFuPc+NSsVOlo6KLuxLMKTwmFjYoOQCSHQkmnhY8JHvIl5g9fRrzH16lRc6HsBbW3b4u6nuxjkNUgQjLzU7xKXgPQy6iXKmJZBXY+6CIoOwp7Oe7D72W7c/3KfG7GQlpUm2HZYfmF+qL+7vuj6ZS2WYUajGdjtvxtbHm/Bud7nYGNqAwDQW6KHzJxM3B96n6vgj02NhfNxZwTHBiMqJQrm+uY42v0oihsVR2H9wlyr/5M9T6JHFcV8b3bd+T7zO9Y/XI+OFTpyM3kBYOW9lZh5fSZ3uZRJKcxpPAcFdQpikNcgWBtZo2OFjqLgv52lHVyquqBwwcKwMrRCtxPduNtWtFwheExAMc5ikNcgZMmz4FrLFX2q94H/N39Bq/VxdcchNCEU9a3ro2rRqihhXAK1i9fmbv+Y8BFlNpYBAFwbcA2jvEdJjie4NuAa7IvZwzvYm5txDwCne51G18pd0fZQW1z5cAUmeib4nvFd9PfMAgYRyREotlaxT53beC4Wt1gsuh/5cRTUJYQQQgghhJCfZPX91Zh+bTpKmZTCp4mffvXiEEIIIeQfkJSRhCx5Fsz0zdTeR87IkSPPUVtVrM79z/dhY2qTa/X1z5KZkwm/MD80tmms8X4Z2RlYdncZJtaf+LcC7gzD4G3sW669OhFjGAbHXx3HyPMjUcmiEq4OuCpKxshN56Od4R3sjeTZyZLjCXyCfVDJohLKmZVDbGosSqwvgU3tNmFErRHcfdKy0iBn5CikWyhPz/nk6xMY6hr+8Gf7LekbkjOTUd68PJyOOOHCuwvoU60P+lXvh9OvT2NLhy2SQb/cZOVkweedD5bcWYKbg27CSM8ISRlJiEiOQHlzRdvjL9+/wNrYWm1iQmxqLELiQ1DHug5Ss1IRnxYPa2NrwX2W312OuLQ4/NXsLxgUMEBMaowoAP138JchPwkq6nz5/gVJmUmoUqQKolMUHYb4y/si8gU8/D2wps2aPO/H9jzbg2HnhqFX1V442v2o6P2MSY1BXFocKphXwMlXJ9HLsxf2ddmHQTUHqXlEhXNvz8Heyh6L7yzGhHoTYG5gDitDK7X3D4wMxPGXx7G4xWLRMuTIc5AtzxYkdzAMA61FWqhnXQ++w32568MSwxAUHcQlS6hKzEiEyQoTyCBD+tx0LkjPMAzcH7ujVdlWqGhRER7+HvAL80OLMi3Q93RfzG8yHwubL+Qeh13fAUV17bekb5hxbQZXFR47PRYe/h6YcW0GFjVbhHlNFXPTr4Vcw73P99CxQkdBAFedsMQwyBk5SpmUQtfjXbmW4g+GPsCRF0dEo1uCY4MRkRyBJjZNuOtmXZuFFfdXYJvTNjgUc8DJVyex5uEajHAYgf52/bn7Tro0CRv8NqBjhY4430eYoEH+HgrqEkIIIYQQQshPcufTHTTd11Rjq09CCCGEEEJyk56dDoZhfiiQmZmTicyczFxnx/+u2Fa5UhXK5PclZ+T4mvQ1z0kpnxI+oZRJqXyPofgnJGYkQldbV9D1IC8+xH2AQQGDPFX7MwyDe5/voUHJBoIuD/Fp8bjy4Qp6Ve0leC++Jn3F16SvXFX8ubfn0Na2bb6XUUpCegIOPj+IsXXH5mtkRFZOFq6GXEV72/a5fm7lNpWDvo4+Xo55+XcXl/BQUJcQQgghhBBCfqKQ+BCUNi39U+YpEkIIIYQQ8l/DMAxeRr3kZm0TQv48XY51wdUPV5E4K/FvVZUTob8d1F21ahXCw8ORmZkJR0dHDByozJy5cuUKjh07BlNTU+jq6mL58uWQyWQ4cOAAHj58CF1dXZQoUQLTpk3L9bF+9EUQQgghhBBCCCGEEEIIIYQQQv4d0SnRMCloIpodTf4eTfHQXEPnr169Qnh4ODZu3AgAcHFxQceOHWFmZobs7Gxs3LgR58+fh5aWFtatW4dLly6hXr168PHxwfHjxwEAEyZMQFBQEBiGUftYhBBCCCGEEEIIIYQQQgghhJDf38+cKU3yJtdeYXfv3kXr1q25y40bN8aTJ08AAO/fv0flypWhpaV4mDZt2uDu3bt49OgRGjduzP1N69atce/ePY2PRQghhBBCCCGEEEIIIYQQQgghRCzXoG5cXBxMTU25yyYmJoiNjdV4W36vl7Ju3TqUKFGC+5ecnJy/V0YIIYQQQgghhBBCCCGEEEIIIf8Dcg3qmpubIz4+nrscHx8PCwsLjbfl93opkydPRlhYGPfP0NAw/6+OEEIIIYQQQgghhBBCCCGEEEL+cLkGdZs1a4bLly9zl+/du4d69eoBAGxtbfHmzRvI5XIAwMWLF9GqVSvUrVsXd+/e5f7m8uXLaN68ucbHIoQQQgghhBBCCCGEEEIIIYQQIqaT2x0qVqyIsmXLYty4ccjKykKvXr3w6NEjvHz5EhMnTsTkyZMxbNgwFC5cGEZGRmjevDkAwNnZGaNGjYKenh4qVaoEW1tbABA9lrGx8T/7CgkhhBBCCCGEEEIIIYQQQggh5A8mYxiG+dULkRclSpRAWFjYr14MQgghhBBCCCGEEEIIIYQQQgj56TTFQ3Ntv0wIIYQQQgghhBBCCCGEEEIIIeTXoaAuIYQQQgghhBBCCCGEEEIIIYT8xiioSwghhBBCCCGEEEIIIYQQQgghvzEK6hJCCCGEEEIIIYQQQgghhBBCyG+MgrqEEEIIIYQQQgghhBBCCCGEEPIbo6AuIYQQQgghhBBCCCGEEEIIIYT8xiioSwghhBBCCCGEEEIIIYQQQgghvzEK6hJCCCGEEEIIIYQQQgghhBBCyG+MgrqEEEIIIYQQQgghhBBCCCGEEPIbo6AuIYQQQgghhBBCCCGEEEIIIYT8xiioSwghhBBCCCGEEEIIIYQQQgghvzEK6hJCCCGEEEIIIYQQQgghhBBCyG+MgrqEEEIIIYQQQgghhBBCCCGEEPIbo6AuIYQQQgghhBBCCCGEEEIIIYT8xiioSwghhBBCCCGEEEIIIYQQQgghvzEK6hJCCCGEEEIIIYQQQgghhBBCyG+MgrqEEEIIIYQQQgghhBBCCCGEEPIbo6AuIYQQQgghhBBCCCGEEEIIIYT8xiioSwghhBBCCCGEEEIIIYQQQgghvzEZwzDMr16IvNDT00ORIkV+9WL8z0hOToahoeGvXgxCyN9A2zEhfz7ajgn589F2TMifj7ZjQv58tB0T8uej7ZiQPx9txz9HdHQ0MjIyJG/7Y4K65OcqUaIEwsLCfvViEEL+BtqOCfnz0XZMyJ+PtmNC/ny0HRPy56PtmJA/H23HhPz5aDv+51H7ZUIIIYQQQgghhBBCCCGEEEII+Y1RUJcQQgghhBBCCCGEEEIIIYQQQn5jFNT9j5o8efKvXgRCyN9E2zEhfz7ajgn589F2TMifj7ZjQv58tB0T8uej7ZiQPx9tx/88mqlLCCGEEEIIIYQQQgghhBBCCCG/MarUJYQQQgghhBBCCCGEEEIIIYSQ3xgFdQkhhBBCCCGEEEIIIYQQQggh5DdGQV1CCCGEEEIIIYQQQgghhBBCCPmN6fzqBSD/rlWrViE8PByZmZlwdHTEwIEDf/UiEUI0aNiwIerUqQMA0NPTw/LlyzFr1ixkZWUhISEBffr0QevWrZGWloZp06ZBV1cXsbGxmDhxIuzt7X/x0hPy3/X8+XMsWrQIderUwcyZMyGXy/O17cbGxmLGjBkwMTFBXFwcFixYgNKlS//ql0XIf4rqdpyTk4MaNWqgVatWAIBixYphxowZtB0T8ptiGAazZs1CcnIy0tLSYGdnh3HjxtHxmJA/iNR27ObmRsdjQv4gcrkcM2fORFZWFtLS0lClShW4ubnR8ZiQP4jUdjx27Fg6Hv8qDPnPePnyJTN+/Hjucq9evZjY2NhfuESEkNz069dPcNnb25tZt24dwzAMk5OTwzg5OTFZWVnMli1bmNOnTzMMwzBpaWlMp06d/vVlJYQo7d69m7lx4wazfPlyhmHyv+1OnTqV8ff3ZxiGYSIiIkT7AkLIP091O46OjmYmTJgguh9tx4T8ngIDA5kdO3Zwl9u1a0fHY0L+MFLb8efPn+l4TMgfJDAwkDl06BB3uUOHDnQ8JuQPI7Ud0/H416H2y/8hd+/eRevWrbnLjRs3xpMnT37hEhFCNMnKykJISAjmzJmD8ePHw9vbW7Ada2lpoVKlSggJCRFcX7BgQejq6iIjI+NXLj4h/2lDhw6FTCbjLud32339+jVXbW9paYnv37//+y+CkP841e04Li4Ob9++xZw5c+Dm5oaHDx8CAG3HhPymqlevjpEjR3KXtbW1cefOHToeE/IHkdqOU1NT6XhMyB+kevXq6NevHwDg+/fvyMjIwK1bt+h4TMgfRGo7puPxr0Ptl/9D4uLiUK1aNe6yiYkJYmNjf+ESEUJys2jRIrRq1QpyuRy9e/dGQkIC3NzcuNv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      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(1, len(loss_list), len(loss_list), endpoint=True)\n",
    "plt.plot(X, loss_list, color='green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "e708f1c8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(1, len(loss_list), len(loss_list), endpoint=True)\n",
    "plt.plot(X, loss_list, color='green')\n",
    "plt.ylim(0,0.02)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "ae6089f1",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 保存损失列表\n",
    "np.save('./2-19-loss_list.npy', loss_list)\n",
    "# 加载损失列表\n",
    "a = np.load('2-19-loss_list.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "cf80f60f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 考虑将要预测的第一个时刻的特征和预测时刻前24小时的那个时刻的负荷组成一个序列，预测的第二个时刻的特征和预测时刻前24小时的那个时刻的负荷组成\n",
    "# 一个序列......，最终一个样本有96个序列，分别对应要预测的96个时刻。就像实训2-9那样。\n",
    "# 考虑新增一个特征：是否为休息日（或工作日），并将节假日的调休去掉。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "dc1afb2c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame(np.load('tree_mape.npy'), columns=['决策树'])\n",
    "df2 = pd.DataFrame(np.load('fcnn_mape.npy'), columns=['全连接神经网络'])\n",
    "df3 = pd.DataFrame(np.load('lstm11_mape.npy'), columns=['LSTM-11'])\n",
    "df4 = pd.DataFrame(np.load('lstm19_mape.npy'), columns=['LSTM-19'])\n",
    "df = pd.concat([df1, df2, df3, df4], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "2a03b268",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x560 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7), dpi= 80)\n",
    "sns.boxplot(data=df)\n",
    "plt.ylabel('误差')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "027640ff",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x560 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7), dpi= 80)\n",
    "sns.boxplot(data=df)\n",
    "plt.ylim(0,0.1)\n",
    "plt.ylabel('误差')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pytorch",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
